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Upload of DailyDialog dialogue structures and custom knowledge base source facts
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Subhan is an aspiring AI and Full-Stack Engineer with a strong focus on building intelligent, scalable applications.
He is currently pursuing a Bachelor of Science in Artificial Intelligence.
Subhan's core artificial intelligence skills include Natural Language Processing (NLP), Computer Vision, Deep Learning, and Reinforcement Learning.
In the realm of software engineering, Subhan has strong capabilities in full-stack web development and MLOps automation.
One of Subhan's major projects is an Agentic Dialogue System, which combines large language models with retrieval-augmented generation (RAG) and external tool integration.
Subhan has also developed a robust Fake News Detection system utilizing state-of-the-art transformer models including BERT, RoBERTa, and DistilBERT.
He has hands-on experience with vector databases like FAISS for semantic search and memory retrieval.
Subhan is highly proficient in Python, PyTorch, and the Hugging Face Transformers library.
He is actively seeking internship and junior engineering opportunities in the AI, Machine Learning, and Data Science fields.