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muditgmac/README.md

Mudit Gupta

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.

Selected Projects

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.

Areas I Work In

Machine Learning · Deep Learning · NLP · RAG · Recommendation Systems · MLOps · FastAPI · PostgreSQL · Docker · Explainable AI · Bioinformatics

Pinned Loading

  1. AI-Job-Matching-Platform AI-Job-Matching-Platform Public

    Explainable hybrid AI job-matching platform combining semantic similarity, skill matching, experience and education signals with interpretable ranking.

    Python

  2. Document-Intelligence-RAG Document-Intelligence-RAG Public

    Production-oriented RAG system for PDF document intelligence using FastAPI, LangChain, PostgreSQL/pgvector, citation-aware retrieval and retrieval evaluation.

    Python

  3. Dynamic-Pricing-Engine Dynamic-Pricing-Engine Public

    Production-oriented ML pricing decision-support system with leakage-safe XGBoost forecasting, SHAP, scenario analysis, FastAPI, Streamlit, MLflow, Docker and CI.

    Python

  4. Hybrid-Recommendation-Platform Hybrid-Recommendation-Platform Public

    Two-stage recommendation platform with PyTorch two-tower retrieval, FAISS candidate search, neural reranking and PostgreSQL-backed metadata persistence.

    Python

  5. DNA-Sequencing-Classifier DNA-Sequencing-Classifier Public

    DNA sequence function classification using overlapping k-mer bag-of-words features and Multinomial Naive Bayes, evaluated across human, chimpanzee and dog coding sequences.

    Jupyter Notebook

  6. Bio-hashing-Two-Factor-Authentication Bio-hashing-Two-Factor-Authentication Public

    Cancellable biometric verification system in C using BioHashing, Blum–Blum–Shub projections, Gram–Schmidt orthonormalization, DCT transforms, biometric matching, and security evaluation.

    C