Machine Learning · Data Science · Applied AI
IIT Kanpur B.Tech–M.Tech | UC San Diego graduate research experience
I build production-oriented machine-learning systems spanning recommendation systems, retrieval-augmented generation, forecasting, ranking, explainable AI, MLOps, and computational biology.
Production-oriented pricing decision-support system with XGBoost forecasting, SHAP explainability, scenario analysis, FastAPI, Streamlit, MLflow, Docker, and CI.
PDF document-intelligence system using LangChain, PostgreSQL/pgvector, citation-aware retrieval, and retrieval-quality evaluation.
Two-stage recommendation system with PyTorch two-tower retrieval, FAISS candidate generation, neural reranking, and PostgreSQL-backed metadata persistence.
Explainable hybrid job-ranking system combining semantic similarity, skill matching, experience, and education signals.
Machine Learning · Deep Learning · NLP · RAG ·
Recommendation Systems · MLOps · FastAPI · PostgreSQL ·
Docker · Explainable AI · Bioinformatics
