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<!DOCTYPE html>
<html lang="en">
  <head>
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    <title>Truong-Phuc Nguyen | NLP Researcher</title>
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        <ul class="nav-links" id="navLinks">
          <li><a href="#about">About</a></li>
          <li><a href="#education">Education</a></li>
          <li><a href="#publications">Publications</a></li>
          <li><a href="#experience">Experience</a></li>
          <li><a href="#achievements">Achievements</a></li>
          <li><a href="#skills">Skills</a></li>
          <li><a href="#contact">Contact</a></li>
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          src="image/img_cv.jpg"
          alt="Truong-Phuc Nguyen"
          class="profile-image"
        />
        <h1>Truong-Phuc Nguyen</h1>
        <p class="subtitle">NLP Enthusiast</p>
        <p class="description">
          Graduate Computer Science student specializing in Natural Language
          Processing and Machine Learning, with focus on Vietnamese language
          processing, question answering systems, and legal AI applications.
        </p>
        <div class="social-links">
          <a href="#" class="social-link" id="scholarLink">
            <i class="ri-graduation-cap-fill"></i> Google Scholar
          </a>
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            <i class="ri-github-fill"></i> GitHub
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            <i class="ri-linkedin-box-fill"></i> LinkedIn
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    </section>

    <div class="container">
      <!-- About Section -->
      <section id="about">
        <h2 class="section-title">About Me</h2>
        <div class="glass-card">
          <p style="text-align: justify; line-height: 1.8">
            Hello! I'm Truong-Phuc Nguyen (you can call me Fook), a graduate
            Computer Science student specializing in Natural Language Processing
            and Machine Learning. My expertise spans across question answering
            systems, text generation, information retrieval, and Vietnamese
            language processing using both pre-trained language models and large
            language models.
          </p>
          <p style="text-align: justify; line-height: 1.8; margin-top: 1rem">
            Through my research and practical projects, I have successfully
            built proof-of-concept NLP systems, including legal QA platforms,
            educational question generation tools, and multilingual text
            processing pipelines. Currently seeking a position related to NLP
            where I can leverage my deep understanding of language models, text
            processing algorithms, and research experience.
          </p>
        </div>
      </section>

      <!-- Education Section -->
      <section id="education">
        <h2 class="section-title">Education</h2>
        <div class="glass-card">
          <h3>
            <i class="ri-school-fill"></i> Hung Yen University of Technology and
            Education
          </h3>
          <p style="color: var(--accent); font-weight: 600">
            Bachelor of Engineering in Computer Science (Talented Engineer
            Program)
          </p>
          <p style="color: var(--text-secondary)">September 2021 - June 2025</p>

          <div class="education-stats">
            <div class="stat-item">
              <div class="stat-number">9.04</div>
              <div class="stat-label">GPA / 10</div>
            </div>
            <div class="stat-item">
              <div class="stat-number">3.75</div>
              <div class="stat-label">GPA / 4</div>
            </div>
            <div class="stat-item">
              <div class="stat-number">#1</div>
              <div class="stat-label">Class Rank</div>
            </div>
          </div>
        </div>
      </section>

      <!-- Publications Section -->
      <section id="publications">
        <h2 class="section-title">Publications</h2>

        <div class="glass-card">
          <h3 style="color: var(--accent); margin-bottom: 1.5rem">
            <i class="ri-file-paper-2-line"></i> Journal Articles
          </h3>

          <div class="publication-item">
            <h4>
              [1] A fine-tuning framework based on question, context, and answer
              relationships for enhancing legal information retrieval
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> Nhu Hai Phung, Chi Thanh Nguyen,
              Minh-Tien Nguyen, Thu Ha Nguyen, Huu Loi Le, &
              <strong>Truong-Phuc Nguyen</strong><br />
              <strong>Published in:</strong> Engineering Applications of
              Artificial Intelligence, Volume 159, Page 111570. Elsevier,
              2025<br />
              <strong>Impact:</strong> WoS, Q1, IF: 8.0<br />
              <a
                href="https://doi.org/10.1016/j.engappai.2025.111570"
                class="doi-link"
                target="_blank"
                >DOI: 10.1016/j.engappai.2025.111570</a
              >
            </p>
          </div>

          <div class="publication-item">
            <h4>
              [2] Towards Vietnamese Legal Question Answering: An Empirical
              Study
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> <strong>Truong-Phuc Nguyen</strong>,
              Van-Quyet Nguyen, & Minh-Tien Nguyen<br />
              <strong>Status:</strong> Submitted to Artificial Intelligence and
              Law, Springer, 2025
            </p>
          </div>

          <div class="publication-item">
            <h4>
              [3] Application of Machine Learning in Image Recognition to Detect
              Some Abnormalities in the Examination Rooms
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> Tien-Dat Nguyen,
              <strong>Truong-Phuc Nguyen</strong>, and Pham Minh Chuan<br />
              <strong>Published in:</strong> UTEHY Journal of Applied Science
              and Technology, Vol. 40, 2023, pp. 27-32
            </p>
          </div>
        </div>

        <div class="glass-card">
          <h3 style="color: var(--accent); margin-bottom: 1.5rem">
            <i class="ri-article-line"></i> Conference Papers
          </h3>

          <div class="publication-item">
            <h4>
              [1] ViLegalLM: Language Models for Vietnamese Legal Text
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> <strong>Truong-Phuc Nguyen</strong>,
              Quy-Nhan Nguyen, Van-Quyet Nguyen &
              Minh-Tien Nguyen<br />
              <strong>Status:</strong> Under Writing
            </p>
          </div>
          
          <div class="publication-item">
            <h4>
              [2] UTEHY-NLU@ALQAC 2025: Dynamic Weighted Ensemble and Adaptive
              Reasoning for Vietnamese Legal Text Processing
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> <strong>Truong-Phuc Nguyen</strong>,
              Quy-Nhan Nguyen, Manh-Cuong Phan, Chi-Hai Cao, Trinh-Hoai-An
              Duong, Minh-Tien Nguyen<br />
              <strong>Conference:</strong> The 17th International Conference on
              Knowledge and Systems Engineering (KSE 2025), ISAILD, 2025<br />
              <strong>Status:</strong> Accepted
            </p>
          </div>

          <div class="publication-item">
            <h4>
              [3] ViEduQA: A New Vietnamese Dataset for Question Answer
              Generation in Education
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> <strong>Truong-Phuc Nguyen</strong>,
              Huu-Loi Le, Phuc Quoc-Hung, Nhan Quy Huy, Xuan-Hieu Phan, and
              Minh-Tien Nguyen<br />
              <strong>Published in:</strong> Information and Communication
              Technology. SOICT 2024. CCIS, vol. 2352, pp. 441-455. Springer,
              Singapore, 2025<br />
              <a
                href="https://doi.org/10.1007/978-981-96-4288-5_34"
                class="doi-link"
                target="_blank"
                >DOI: 10.1007/978-981-96-4288-5_34</a
              >
            </p>
          </div>

          <div class="publication-item">
            <h4>
              [4] Vietnamese Legal Question Answering: An Experimental Study
            </h4>
            <p class="publication-meta">
              <strong>Authors:</strong> Thu-Ha Nguyen,
              <strong>Truong-Phuc Nguyen</strong>, Khang T. Trung, Huu-Loi Le,
              Le Thi Viet Huong, Chi Thanh Nguyen, and Minh-Tien Nguyen<br />
              <strong>Published in:</strong> Proceedings of 2024 16th
              International Conference on Knowledge and Systems Engineering
              (KSE), Kuala Lumpur, Malaysia, 2024, pp. 1-6. IEEE<br />
              <a
                href="https://doi.org/10.1109/KSE63888.2024.11063637"
                class="doi-link"
                target="_blank"
                >DOI: 10.1109/KSE63888.2024.11063637</a
              >
            </p>
          </div>
        </div>
      </section>

      <!-- Research Experience Section -->
      <section id="experience">
        <h2 class="section-title">Experience</h2>

        <!--Tab Navigation -->
        <div class="experience-tabs">
          <button class="tab-btn active" onclick="switchTab('research')">
            <i class="ri-search-line"></i> Research
          </button>
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            <i class="ri-briefcase-line"></i> Working
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            <i class="ri-presentation-fill"></i> Teaching & Mentoring
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        <!-- Research Tab Content -->
        <div id="research-tab" class="tab-content active">
          <div class="glass-card">
            <div class="timeline">
              <div class="timeline-item">
                <div class="timeline-date">August 2025 - Present</div>
                <h3>
                  MedMAS - Multi-agent System for Pre-visit Clinical Note
                  Generation
                </h3>
                <p style="color: var(--accent); font-weight: 600">
                  Biomedical Laboratory, Feng Chia University, Taiwan
                </p>
                <p class="timeline-content">
                  Building a Multi-Agent System for the medical domain to
                  extract patient information through conversations, generate
                  follow-up questions to collect more patient information and
                  create summary reports for the pre-medical examination stage
                  for patients, to save examination time for doctors and improve
                  the patient's experience during medical examination and
                  treatment.
                </p>
                <p
                  style="
                    color: var(--text-secondary);
                    font-size: 0.9rem;
                    margin-top: 0.5rem;
                  "
                >
                  <strong>Advisor:</strong> Prof. Fang-Rong Hsu
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">September 2024 - Present</div>
                <h3>
                  ViLegalLM: Language Models for Vietnamese Legal Text
                </h3>
                <p style="color: var(--accent); font-weight: 600">
                  NLU Laboratory, Hung Yen University of Technology and
                  Education
                </p>
                <p class="timeline-content">
                  Developing one representation (135M) and two generation (1.54B, 
                  1.72B) models specifically for the legal domain in Vietnam 
                  through continual pretraining of language models on large 
                  datasets from four sources of authoritative legal documents 
                  in Vietnam. Legal pretrained models are trained on high-quality
                  large-scale synthetic datasets, compared with 7 state-of-the-art 
                  Vietnamese general and legal LMs of the same size across 10 
                  benchmarks spanning 4 main tasks: Information Retrieval, 
                  Question Answering, Natural Language Inference, and Syllogism Reasoning. 
                  ViLegalLM achieves state-of-the-art performance on 10 benchmarks, 
                  establishes the newest strong baselines for Vietnamese Legal text 
                  processing.
                </p>
                <p
                  style="
                    color: var(--text-secondary);
                    font-size: 0.9rem;
                    margin-top: 0.5rem;
                  "
                >
                  <strong>Advisor:</strong> Assoc. Prof. Minh-Tien Nguyen
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">August 2025 - September 2025</div>
                <h3>Adaptive Weighted Ensemble for Legal Text Processing</h3>
                <p style="color: var(--accent); font-weight: 600">
                  NLU Laboratory, UTEHY
                </p>
                <p class="timeline-content">
                  Designed a framework combining multiple bi-encoders through
                  query-specific confidence calculation, advanced dynamic
                  weighting, and ensemble score fusion with cross-encoder
                  reranker. Achieved 3rd place in Legal Information Retrieval
                  task (F2-score: 0.8482, 7.51% improvement) and 2nd place in
                  Legal Question Answering (97.56% accuracy). Paper accepted at
                  ISAILD-KSE 2025.
                </p>
                <p
                  style="
                    color: var(--text-secondary);
                    font-size: 0.9rem;
                    margin-top: 0.5rem;
                  "
                >
                  <strong>Advisor:</strong> Assoc. Prof. Minh-Tien Nguyen
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">February 2024 - September 2025</div>
                <h3>
                  IntelliChat - Vietnamese Legal Question Answering System
                </h3>
                <p style="color: var(--accent); font-weight: 600">
                  NLU Laboratory, UTEHY
                </p>
                <p class="timeline-content">
                  Built an end-to-end legal QA system for Vietnamese,
                  integrating information retrieval with answer generation.
                  System processes legal queries, retrieves relevant legal
                  articles, and generates accurate answers using
                  state-of-the-art NLP techniques.
                </p>
                <p
                  style="
                    color: var(--text-secondary);
                    font-size: 0.9rem;
                    margin-top: 0.5rem;
                  "
                >
                  <strong>Advisor:</strong> Assoc. Prof. Minh-Tien Nguyen
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">February 2024 - June 2025</div>
                <h3>
                  QACTune - Advanced Legal Information Retrieval Framework
                </h3>
                <p style="color: var(--accent); font-weight: 600">
                  NLU Laboratory, UTEHY
                </p>
                <p class="timeline-content">
                  Developed a novel fine-tuning framework leveraging
                  Question-Context-Answer relationships for enhancing legal
                  information retrieval in low-resource settings. Average
                  improvements of 3.9% and 4.8% in MAP@K. Published in
                  Engineering Applications of Artificial Intelligence (WoS, Q1,
                  IF: 8.0).
                </p>
                <p
                  style="
                    color: var(--text-secondary);
                    font-size: 0.9rem;
                    margin-top: 0.5rem;
                  "
                >
                  <strong>Advisor:</strong> Assoc. Prof. Minh-Tien Nguyen
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">July 2023 - January 2024</div>
                <h3>
                  ViEduQAG - Vietnamese Question and Answer Generation in
                  Education
                </h3>
                <p style="color: var(--accent); font-weight: 600">
                  NLU Laboratory, UTEHY
                </p>
                <p class="timeline-content">
                  Pioneered Vietnamese Question-Answer Generation research in
                  education domain by creating ViEduQA - the first comprehensive
                  Vietnamese educational QAG dataset with 12,618 QA pairs across
                  319 lessons from 4 high school subjects. Published in SOICT
                  2024 (Springer CCIS).
                </p>
                <p
                  style="
                    color: var(--text-secondary);
                    font-size: 0.9rem;
                    margin-top: 0.5rem;
                  "
                >
                  <strong>Advisor:</strong> Assoc. Prof. Minh-Tien Nguyen
                </p>
              </div>
            </div>
          </div>
        </div>

        <!-- Working Tab Content -->
        <div id="working-tab" class="tab-content">
          <div class="glass-card">
            <h3 style="color: var(--accent); margin-bottom: 1rem">
              <i class="ri-briefcase-line"></i> Work Experience
            </h3>
            <div class="timeline">
              <div class="timeline-item">
                <div class="timeline-date">February 2025 – July 2025</div>
                <h3>
                  NLP Fresher @ Artificial Intelligence Institute JSC, Hung Yen,
                  Vietnam
                </h3>
                <p style="color: var(--accent); font-weight: 600">
                  SmartChat - Smart AI Assistant for Vietnamese
                </p>
                <p class="timeline-content">
                  Led comprehensive evaluation of large language models for
                  production chatbot system, focusing on optimizing performance
                  across multiple NLP tasks including document reranking,
                  question rewriting, and content generation. Conducted
                  systematic benchmarking of state-of-the-art models including
                  GPT-4o-mini, Amazon Nova Lite, Amazon Nova Micro, and Amazon
                  Nova Pro.
                </p>
                <p style="color: var(--accent); font-weight: 600">
                  AI Assistant for Vietnam Ministry of Agriculture
                </p>
                <p class="timeline-content">
                  Developed a comprehensive domain-specific chatbot system
                  enabling intelligent question-answering capabilities over
                  legal document collections and regulatory text corpora. Built
                  innovative text-to-analytics functionality and designed a
                  novel document chunking mechanism combining Depth-First Search
                  (DFS) algorithms with advanced Regular Expression patterns.
                </p>
              </div>
              <div class="timeline-item">
                <div class="timeline-date">October 2024 – January 2025</div>
                <h3>AI Intern @ Viettel Telecom Corporation, Hanoi, Vietnam</h3>
                <p style="color: var(--accent); font-weight: 600">
                  Per-Title Encoding
                </p>
                <p class="timeline-content">
                  Developed and optimized per-title encoding algorithms for
                  video compression on the TV360 streaming platform. Implemented
                  advanced analysis techniques to assess video complexity and
                  dynamically adjust encoding parameters, achieving optimal
                  balance between visual quality and file size.
                </p>
                <p style="color: var(--accent); font-weight: 600">
                  Video Frame Interpolation
                </p>
                <p class="timeline-content">
                  Designed and implemented advanced video frame interpolation
                  systems to enhance motion smoothness for TV360 platform
                  content delivery. Developed sophisticated interpolation
                  algorithms using deep learning techniques to generate
                  high-quality intermediate frames.
                </p>
                <p style="color: var(--accent); font-weight: 600">
                  Video Quality Assessment for User Generated Content
                </p>
                <p class="timeline-content">
                  Built comprehensive video quality assessment frameworks for
                  evaluating and enhancing user-generated content on the TV360
                  platform using computer vision and machine learning
                  techniques.
                </p>
              </div>
            </div>
          </div>
        </div>

        <!-- Teaching Tab Content -->
        <div id="teaching-tab" class="tab-content">
          <div class="glass-card">
            <h3 style="color: var(--accent); margin-bottom: 1rem">
              <i class="ri-presentation-line"></i> Teaching & Mentoring
            </h3>
            <div class="timeline">
              <div class="timeline-item">
                <div class="timeline-date">April 2024 – July 2025</div>
                <h3>Natural Language Processing - Teaching Assistant</h3>
                <p style="color: var(--accent); font-weight: 600">
                  CS19TN, Hung Yen University of Technology and Education
                </p>
                <p class="timeline-content">
                  Assisted in teaching Natural Language Processing course,
                  guiding students through fundamental and advanced NLP
                  concepts, helping with assignments and projects.
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">April 2024 – July 2025</div>
                <h3>Natural Language Processing - Key Mentor</h3>
                <p style="color: var(--accent); font-weight: 600">
                  UTEHY-NLU Lab
                </p>
                <p class="timeline-content">
                  Mentored students in NLP research projects, guiding them
                  through literature review, experimental design, and paper
                  writing.
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">December 2023 – July 2025</div>
                <h3>Deep Learning - Key Mentor</h3>
                <p style="color: var(--accent); font-weight: 600">
                  UTEHY-NLU Lab
                </p>
                <p class="timeline-content">
                  Guided students in deep learning fundamentals and
                  applications, covering neural networks, CNNs, RNNs, and
                  Transformers.
                </p>
              </div>

              <div class="timeline-item">
                <div class="timeline-date">June 2023 – July 2025</div>
                <h3>Machine Learning - Key Mentor</h3>
                <p style="color: var(--accent); font-weight: 600">
                  UTEHY-NLU Lab
                </p>
                <p class="timeline-content">
                  Mentored students in machine learning concepts and practical
                  applications, covering supervised and unsupervised learning
                  algorithms.
                </p>
              </div>
            </div>
          </div>
        </div>
      </section>

      <!-- Achievements Section -->
      <section id="achievements">
        <h2 class="section-title">Achievements</h2>

        <div class="glass-card">
          <h3 style="color: var(--accent); margin-bottom: 1.5rem">
            <i class="ri-trophy-line"></i> Academic Competitions
          </h3>
          <div class="awards-grid">
            <div class="award-item">
              <div class="award-icon"><i class="ri-trophy-line"></i></div>
              <div class="award-info">
                <h4>ALQAC 2025 Competition</h4>
                <p class="award-date">July 2025</p>
                <p style="color: var(--text-secondary); font-size: 0.9rem">
                  Top #2 in Legal Question Answering (0.9756 Accuracy) and Top
                  #3 in Legal Information Retrieval (0.8482 F2-Score)
                </p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-trophy-line"></i></div>
              <div class="award-info">
                <h4>ALQAC 2024 Competition</h4>
                <p class="award-date">July 2024</p>
                <p style="color: var(--text-secondary); font-size: 0.9rem">
                  Top #5 in Legal Question Answering task
                </p>
              </div>
            </div>
          </div>
        </div>

        <div class="glass-card">
          <h3 style="color: var(--accent); margin-bottom: 1.5rem">
            <i class="ri-verified-badge-line"></i> Certifications
          </h3>
          <div class="timeline">
            <div class="timeline-item">
              <div class="timeline-date">November 2025</div>
              <h3>KSE 2025 Certification of Presentation</h3>
            </div>
            <div class="timeline-item">
              <div class="timeline-date">July 2025</div>
              <h3>TOEIC Reading & Listening</h3>
            </div>
            <div class="timeline-item">
              <div class="timeline-date">February 2025</div>
              <h3>Hugging Face Agents Course</h3>
            </div>
            <div class="timeline-item">
              <div class="timeline-date">December 2024</div>
              <h3>
                SOICT 2024 Presentation - Conference Presentation Certification
              </h3>
            </div>
            <div class="timeline-item">
              <div class="timeline-date">February 2024</div>
              <h3>Google Data Analytics Professional Certificate</h3>
            </div>
            <div class="timeline-item">
              <div class="timeline-date">February 2024</div>
              <h3>Stanford Machine Learning Specialization</h3>
            </div>
          </div>
        </div>

        <div class="glass-card">
          <h3 style="color: var(--accent); margin-bottom: 1.5rem">
            <i class="ri-hand-coin-line"></i> Scholarships
          </h3>
          <div class="awards-grid">
            <div class="award-item">
              <div class="award-icon"><i class="ri-star-line"></i></div>
              <div class="award-info">
                <h4>TOYOTA Excellence Academic Scholarship</h4>
                <p class="award-date">November 2024</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-bard-line"></i></div>
              <div class="award-info">
                <h4>Academic Excellence Scholarships</h4>
                <p class="award-date">2021-2025</p>
                <p style="color: var(--text-secondary); font-size: 0.9rem">
                  4 Academic Excellence & 8 Talented Program Scholarships -
                  Consistently ranked #1
                </p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-star-line"></i></div>
              <div class="award-info">
                <h4>Full Tuition Waiver</h4>
                <p class="award-date">2021-2023</p>
                <p style="color: var(--text-secondary); font-size: 0.9rem">
                  Two consecutive academic years
                </p>
              </div>
            </div>
          </div>
        </div>

        <div class="glass-card">
          <h3 style="color: var(--accent); margin-bottom: 1.5rem">
            <i class="ri-award-fill"></i> Awards
          </h3>
          <div class="awards-grid">
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>Sencond Prize - MOE-level Student Scientific Research</h4>
                <p class="award-date">June 2025</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>Excellence Graduate Thesis Presentation</h4>
                <p class="award-date">June 2025</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>
                  First Prize - University-level Student Scientific Research
                </h4>
                <p class="award-date">May 2025</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>First Prize - Faculty-level Student Scientific Research</h4>
                <p class="award-date">March 2025</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>
                  Second Prize - Faculty-level Student Scientific Research
                </h4>
                <p class="award-date">June 2024</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>Outstanding Student (5 Goods)</h4>
                <p class="award-date">April 2023</p>
              </div>
            </div>
            <div class="award-item">
              <div class="award-icon"><i class="ri-honour-line"></i></div>
              <div class="award-info">
                <h4>First Prize - University-level English Olympic</h4>
                <p class="award-date">February 2022</p>
              </div>
            </div>
          </div>
        </div>
      </section>

      <!-- Skills Section -->
      <section id="skills">
        <h2 class="section-title">Skills</h2>
        <div class="skills-grid">
          <div class="glass-card skill-category">
            <h3><i class="ri-macbook-line"></i> Programming Languages</h3>
            <ul class="skill-list">
              <li>Python</li>
              <li>T-SQL</li>
              <li>C#</li>
            </ul>
          </div>

          <div class="glass-card skill-category">
            <h3><i class="ri-tools-line"></i> Libraries & Frameworks</h3>
            <ul class="skill-list">
              <li>Transformers</li>
              <li>Sentence-Transformers</li>
              <li>HuggingFace</li>
              <li>NLTK, Spacy</li>
              <li>Scikit Learn</li>
              <li>PyTorch</li>
              <li>Pandas, Numpy</li>
              <li>Streamlit</li>
            </ul>
          </div>

          <div class="glass-card skill-category">
            <h3><i class="ri-microscope-line"></i> Techniques</h3>
            <ul class="skill-list">
              <li>Continual Pretraining PLMs</li>
              <li>Continual Pretraining LLMs</li>
              <li>Fine-tuning PLMs</li>
              <li>Instruction-tuning LLMs</li>
              <li>Parameter-Efficient Fine-Tuning</li>
              <li>Hard-negative Mining</li>
            </ul>
          </div>

          <div class="glass-card skill-category">
            <h3><i class="ri-crosshair-line"></i> Soft Skills</h3>
            <ul class="skill-list">
              <li>Academic Presentation</li>
              <li>Technical Report Writing</li>
              <li>Problem Solving</li>
              <li>Creative Thinking</li>
            </ul>
          </div>

          <div class="glass-card skill-category">
            <h3><i class="ri-database-line"></i> Database</h3>
            <ul class="skill-list">
              <li>SQL</li>
              <li>MySQL</li>
              <li>Apache</li>
            </ul>
          </div>
        </div>
      </section>

      <!-- Contact Section -->
      <section id="contact">
        <h2 class="section-title">Get In Touch</h2>
        <div class="glass-card contact-info">
          <p>
            <i class="ri-mail-send-line"></i>
            <a href="mailto:nguyentruongphuc_12421tn@utehy.edu.vn"
              >nguyentruongphuc_12421tn@utehy.edu.vn</a
            >
          </p>
          <p style="margin-top: 1rem; color: var(--text-secondary)">
            Feel free to reach out for collaborations, research opportunities,
            or just to connect!
          </p>
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      </section>
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