{
  "35214811922": [
    {
      "id": "525db62c-060c-4374-a6da-2ae1c00a1d29",
      "title": "Software Engineer Intern at TechCorp",
      "company": "TechCorp",
      "role": "Software Engineer Intern",
      "timestamp": "2025-12-03T00:57:18.712517",
      "content": "# AKSHIT SHARMA\nakshitsharma7096@gmail.com | +91 8810248097 | [LinkedIn](https://www.linkedin.com/in/akshit-sharma-475a94271/) | [GitHub](https://github.com/akshit7093) | [LeetCode](https://leetcode.com/u/akshitsharma7093/)\n\n## PROFESSIONAL SUMMARY\nFinal-year B.Tech student specializing in Artificial Intelligence & Data Science with hands-on experience in designing, developing, and deploying scalable, full-stack software solutions. Proficient in Python, JavaScript, and Java, with a strong foundation in backend development, cloud-native technologies (AWS, Docker, Kubernetes), and system architecture. Eager to contribute to a dynamic engineering team by building high-quality, robust, and efficient code.\n\n## EDUCATION\n**Maharaja Agrasen Institute of Technology** | New Delhi, India\n*Bachelor of Technology, Artificial Intelligence & Data Science* | Expected June 2026\n- Overall CGPA: **8.45 / 10.0**\n- **Relevant Coursework:** Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems, Computer Networks, Software Engineering, Operating Systems.\n\n## SKILLS\n- **Languages:** Python, Java, JavaScript, TypeScript, C++, SQL\n- **Backend:** Node.js, FastAPI, Flask, REST APIs, Express.js\n- **Frontend:** React, HTML5, CSS3\n- **Databases:** MongoDB, PostgreSQL\n- **Cloud & DevOps:** AWS (EC2, S3), Docker, Kubernetes, Git, CI/CD\n- **AI/ML Frameworks:** TensorFlow, PyTorch, Scikit-learn, LangChain, Pandas, NumPy\n\n## EXPERIENCE\n**Deep Learning Intern** | Akanila Technologies | *July 2024 \u2013 Dec 2024*\n- Engineered a scalable, multi-tenant chatbot platform using FastAPI, designing a modular backend architecture that increased code reusability by 65%.\n- Developed and integrated a Retrieval-Augmented Generation (RAG) pipeline, boosting query accuracy to 90% and improving response relevance by 25%.\n- Automated the deployment pipeline to AWS EC2 using Docker and Kubernetes, ensuring high availability and enabling seamless, zero-downtime updates.\n\n**Research Intern** | Directorate of Research, Govt. of Arunachal Pradesh | *Aug 2025 \u2013 Present*\n- Designed and implemented a real-time, low-latency speech translation pipeline for low-resource languages, demonstrating end-to-end system development.\n- Optimized the system architecture by integrating Wav2Vec 2.0, MarianMT, and Tacotron 2, successfully reducing translation latency to under 2 seconds for field deployment.\n\n**Machine Learning Intern** | CodSoft | *Aug 2024 \u2013 Sep 2024*\n- Developed a complete fraud detection system by processing and analyzing over 1 million transaction records.\n- Engineered 20+ predictive features and trained an XGBoost model, successfully reducing the false positive rate by 75% (from 20% to 5%) while maintaining over 90% recall.\n\n## PROJECTS\n**OpenStack Cloud Management System** | [GitHub Link](https://github.com/akshit7093/VM_manager_AgenticAi)\n- Designed and developed a full-stack cloud management application with a RESTful API backend (FastAPI) to programmatically design, build, and deploy OpenStack infrastructure.\n- Integrated a GenAI agent using LangChain and Google's Gemini model to translate natural language commands (e.g., \"create a server\") into precise API calls, simplifying complex cloud operations.\n- Containerized the entire application using Docker for consistent development and deployment, ensuring portability and scalability.\n\n**SignEase - Real-Time Video Communication Platform** | [GitHub Link](https://github.com/akshit7093/Sign-language-translator.git)\n- Developed a real-time video communication platform using WebRTC, React, and Node.js, demonstrating full-stack software development capabilities.\n- Implemented a TensorFlow-based sign language detection model and optimized its performance, reducing end-to-end latency by over 60% (from 500ms to 180ms) through model quantization.\n\n## ACHIEVEMENTS\n- **Winner:** AceCloud X RTDS Hackathon \u201825 \u2013 Recognized for developing an innovative cloud-based solution."
    }
  ],
  "35314811922": [
    {
      "id": "b435a7c2-2d7f-401a-8736-78da34269a3d",
      "title": "Backend Developer at CloudStartups",
      "company": "CloudStartups",
      "role": "Backend Developer",
      "timestamp": "2025-12-03T01:45:42.805211",
      "content": "# NIKITA BANSAL\nDelhi, India | +91 9953942721 | bansalnikita06@gmail.com | [LinkedIn](https://www.linkedin.com/in/nikita-bansal-66bb33227/) | [GitHub](https://github.com/Nikita06211)\n\n## PROFESSIONAL SUMMARY\nResults-driven final-year Artificial Intelligence and Data Science student with a strong passion for backend development. Proficient in building and optimizing server-side logic, designing RESTful APIs, and managing databases using Node.js, Express, and MongoDB. Proven ability to translate complex requirements into scalable and efficient backend solutions, demonstrated through hands-on internship experience and personal projects.\n\n## EDUCATION\n**Maharaja Agrasen Institute of Technology** | Delhi, India\n*Bachelor of Technology, Artificial Intelligence & Data Science* | Expected 2026\n*Overall CGPA: 7.68/10.0*\n\n## TECHNICAL SKILLS\n*   **Languages:** C++, JavaScript, TypeScript\n*   **Backend:** Node.js, Express.js, Bun, Hono\n*   **Databases & ORMs:** PostgreSQL, MongoDB, Redis, Prisma\n*   **Cloud & DevOps:** Cloudflare Workers, GitHub Actions, REST APIs\n*   **Core Competencies:** Data Structures & Algorithms, Object-Oriented Programming (OOP), DBMS, System Design, Software Engineering\n\n## PROFESSIONAL EXPERIENCE\n**TheEndorse** | Full Stack Developer Intern\n*Remote* | Aug 2025 - Present\n*   Engineered a secure server-side OAuth 2.0 authentication system integrating Google and LinkedIn providers, managing user sessions and JWTs to facilitate seamless and secure user access.\n*   Developed an automated job expiration pipeline using server-side scheduling, which efficiently managed the job lifecycle, reduced database load, and improved data integrity by removing stale listings.\n*   Implemented a robust backend document processing pipeline to parse job postings, utilizing OCR and custom validation logic to ensure data consistency, automate dynamic job tagging, and manage multiple openings effectively.\n\n## PROJECTS\n**Docs AI** | [GitHub](https://github.com/Nikita06211/docsai-frontend)\n*Tech Stack: Node.js, Bun, TypeScript, Hono, Cloudflare Workers, PostgreSQL*\n*   Architected a high-performance backend using Bun and Hono (TypeScript) to crawl and index documentation websites from sitemap URLs, creating a searchable knowledge base.\n*   Designed and implemented a serverless API deployed on Cloudflare Workers for intelligent search and query matching, achieving a 0% error rate and a median CPU processing time of 14.26ms.\n*   Scaled the backend infrastructure to handle a 90%+ growth in API usage while maintaining reliable global performance and low latency.\n\n**DevTinder** | [GitHub](https://github.com/Nikita06211/DevTinder)\n*Tech Stack: Node.js, Express.js, MongoDB, JWT, Bcrypt*\n*   Developed the backend microservice for a developer networking platform, architecting a RESTful API using Node.js and Express to handle all server-side logic.\n*   Implemented secure user authentication and authorization using JSON Web Tokens (JWT) and bcrypt for password hashing.\n*   Designed the MongoDB schema and wrote efficient queries for core features, including user profile management, connection requests, and activity feed generation.\n\n## COMPETITIVE PROGRAMMING & ACHIEVEMENTS\n*   **LeetCode:** Solved 500+ problems on Data Structures and Algorithms, achieving a peak rating of 1734 (Top 10%).\n*   **Myntra HackerRamp 2024:** Secured a position in the top 4% of teams nationwide (Top 1200 out of 30,000+).\n*   **Codeforces:** Pupil with a max rating of 1294, actively participating in competitive programming contests.\n*   **Winner, Coding Bidding:** Placed first in a competitive programming competition organized by CodeChef MAIT."
    }
  ]
}