I build the bridge between scalable backend engineering and autonomous AI systems.
My journey began with C and Java fundamentals at Kurukshetra University and evolved through industrial-scale engineering exposure at Tesla Gigafactory Berlin into building AI systems focused on retrieval, orchestration, memory, and intelligent workflows.
Excellence in Evaluation (Silver) · Total Engagement (Gold) — IIT Roorkee Agentic AI Systems & Design Cohort
- cartmind-agentic-ecommerce-support – LangGraph agent (RAG + SQL tool routing) for e-commerce support with PII masking, prompt-injection detection, JSON-Schema-validated output, and SQLite checkpointing. Offline-first, FastAPI + MCP server included.
- Agentic-Support-System – A modular Agentic AI support system powered by LangChain, featuring multi-tool orchestration, RAG, SQL querying, web search, conversational memory, and configurable workflows.
- SINDHU-RAG – Production-inspired Retrieval-Augmented Generation pipeline with semantic search, ChromaDB, conversational memory, configurable prompts, and automated evaluation.
📊 Other ML & Data Projects
- Geo-Spatial Valuation Engine – Regression pipeline (Scikit-Learn) with feature engineering and regularization for non-linear property valuation.
- Clinical Tumor Classifier – Classification pipeline (Scikit-Learn) with confusion-matrix and ROC-AUC evaluation for diagnostic inference.
- EDA-snack-app-stock-market – End-to-end ingestion pipeline pulling real-time stock data via the Alpha Vantage API, with Pandas cleaning and visualization. Data Ingestion & EDA capstone.
- Building production-grade autonomous AI agents.
- Mastering LLMOps, tracing, and AI observability.
- Contributing to open-source AI infrastructure.
"I started with curiosity and built discipline through engineering.
This GitHub represents my journey into building intelligent systems that solve real-world problems."
⭐ Always learning. Always building.