I'm a final-year Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning. I enjoy building intelligent systems that bridge AI research with practical software engineering, with a focus on Healthcare AI, Natural Language Processing, and Large Language Models.
AI-powered clinical decision support platform integrating donor-recipient matching, longitudinal patient monitoring, and deep learning–based survival prediction.
Tech: Python • Django • PyTorch • Attention BiLSTM • Machine Learning
Evidence-based claim verification using semantic retrieval, Sentence-BERT, Cross-Encoder reranking, and Natural Language Inference (NLI).
Tech: Python • Django • SBERT • NLP • Transformers
Cybersecurity assistant built using Retrieval-Augmented Generation (RAG), FAISS vector search, and Large Language Models for intelligent threat analysis.
Tech: Python • Django • Qwen LLM • RAG • FAISS
- Python
- SQL
- JavaScript
- HTML
- CSS
- Django
- PyTorch
- scikit-learn
- NumPy
- pandas
- Hugging Face Transformers
- Sentence Transformers
- FAISS
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Transformers
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Vector Databases
- Git
- GitHub
- Explainable AI (XAI)
- Mechanistic Interpretability
- LLM Alignment
- Advanced Transformer Architectures
- AI for Healthcare
- Build production-quality AI applications.
- Contribute to AI research and open-source projects.
- Publish research in trustworthy and interpretable AI.
- Continue exploring healthcare AI and large language models.