Building intelligent AI solutions using RAG, NLP, and Machine Learning to solve real-world problems.
I am a passionate Data Scientist and AI Engineer focused on building intelligent systems using RAG, NLP, and modern machine learning techniques.
With expertise in Python, LangChain, OpenAI, and ML frameworks, I build AI-powered applications that deliver measurable impact.
Technical proficiency across Data Science, AI/ML, and Development
Explore my collection of AI/ML projects showcasing expertise in RAG systems, NLP, predictive analytics, and deep learning applications
AI and ML solutions showcasing expertise in RAG, NLP, and predictive analytics
RAG-powered teaching assistant using LangChain and FAISS. Upload videos or PDFs and get instant answers with exact timestamps. Built with FastAPI backend and Streamlit frontend, achieving sub-2-second response times.
Multi-format document Q&A system using LangChain Map-Reduce for intelligent PDF, DOCX, and PPTX summarization. Provides accurate, sourced answers from large documents. Built with Python, Groq API, and Streamlit.
AI-powered recruitment platform using LLaMA 3 via Groq API. Semantically ranks resumes against job descriptions with 87% accuracy, reducing manual screening by 75%. Built with FastAPI backend and Streamlit frontend, deployed on Railway.
XGBoost-powered classification model predicting student performance with 84% accuracy. Uses SHAP for explainability and identifies at-risk learners early. Built with Python, Scikit-learn, FastAPI, and Streamlit for real-time predictions.
Let's collaborate on AI/ML projects or discuss opportunities.