- π€ Building AI Agents, RAG Systems, and LLM-powered applications
- π Passionate about Machine Learning, Predictive Analytics & Data Science
- π Interested in Backend Engineering, FastAPI, Flask & Cloud Deployment
- π 2nd Place β Campus to Cloud (AWS Automation)
- π Student Coordinator β Training & Placement Cell, University of Lucknow
- π± Currently exploring LangGraph, MCP, Serverless AI, and scalable agent orchestration
- π¬ Ask me about Python, FastAPI, Gemini API, Machine Learning, React, or AI architecture
- β‘ Fun Fact: I love building AI products that feel like magic while remaining practical.
Machine Learning β’ LangChain β’ LangGraph β’ Agentic AI β’ RAG β’ Google Gemini β’ Scikit-Learn β’ Pandas β’ NumPy β’ Matplotlib β’ Seaborn β’ Plotly
A Multi-Agent GitHub code review extension powered by LangGraph that automatically analyzes repositories, detects best practices, and generates architecture diagrams.
AI-powered News Authenticity Verifier using Google Gemini 2.0 Flash capable of forensic fact-checking, bias detection, and claim-level verification.
Offline-first Progressive Web App helping commuters navigate the Lucknow Metro with smart routing, fare calculation, and simulated live train tracking.
Machine Learning platform predicting Aadhaar center demand using Random Forest models trained on 1.5M+ transaction records.
AI-powered agricultural intelligence platform helping farmers with crop advisory, disease detection, and market insights.
Production-ready FastAPI service using PostGIS and Gradient Boosting to predict urban traffic congestion from real-time GPS telemetry.
- Multi-Agent AI Systems
- LangGraph Workflows
- Model Context Protocol (MCP)
- Kubernetes
- Advanced Backend Engineering
- Distributed Systems
- LLM Evaluation Frameworks
"Great software isn't built by writing more code β it's built by solving the right problems."