AI/ML Computer Science undergraduate with hands-on experience building LLM and Retrieval-Augmented Generation (RAG) systems using LangChain, LangGraph, and vector databases. Focused on production-grade backend engineering with FastAPI, Docker, and CI/CD.
AI/ML & GenAI
Backend
Databases & Search
MLOps / DevOps
Cloud & Tools
AI/ML Intern — Qurovo HealthCare
Privacy-Aware Message Intelligence Pipeline · Jul – Aug 2026
- Built an end-to-end NLP pipeline over a 900-message healthcare dataset for message classification, task/event extraction, and sensitive-data protection, served via a FastAPI API/dashboard.
- Designed a hybrid AI architecture — deterministic rules first, LLM fallback only below a 0.75 confidence threshold — with sensitive-data masking (OTPs, credentials, health data) applied before any classification, extraction, or LLM call.
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ProbeIQ
Adaptive AI interview platform with a production FastAPI backend — 180 backend tests, 51 E2E tests, 89 source files, zero lint/type errors. 6 typed LangGraph nodes form a deterministic interview state machine. Argon2id auth, HTTP-only session cookies, retry-safe session architecture. Containerized and deployed via Docker Compose (Render + Vercel).
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PhronesisML
Open-source Python ML SDK published to PyPI — 11 pipeline agents orchestrated via LangGraph. Multi-engine data processing across Pandas, Polars, and PySpark for ETL, validation, EDA, and feature engineering. Includes clustering, anomaly detection, model recommendation, and explainability modules.
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RAG Techniques Implementation Hub
19 RAG pipeline implementations spanning retrieval, chunking, query enhancement, and advanced architectures (Self-RAG, CRAG, RAPTOR, Graph RAG). Hybrid retrieval combining BM25 and FAISS with cross-encoder reranking and contextual compression.
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- PhronesisML — Python ML SDK published on PyPI, built with a type-safe, offline-first architecture and enforced code quality (pre-commit, ruff, mypy, pytest across 89 commits).
- RAG Techniques Implementation Hub — public reference implementation of 19 RAG techniques and architectures.
ABES Engineering College, Ghaziabad, India B.Tech — Computer Science (AI & Machine Learning) · Sep 2024 – Sep 2028 Coursework: DSA, OOP, DBMS, Machine Learning, Statistics, Big Data Analytics, System Design
