I build AI-powered applications, intelligent backend systems, and full-stack products using LLMs, RAG, FastAPI, React, and modern cloud technologies.

• 🎓 B.Tech in Computer Science & Information Technology @ REVA University (2027)
• 🏆 Microsoft Ideathon Winner
• 🤖 Building AI & GenAI Applications (LangChain, LangGraph, Gemini)
• 💻 Backend + Full-Stack Development (FastAPI, React, TypeScript, PostgreSQL)
• 🌱 Exploring AI Agents, MCP & Distributed Systems

I design and build intelligent, scalable software solutions. My work bridges the gap between Generative AI and robust system engineering, creating full-stack applications that leverage large language models, agentic workflows, and distributed backends.

Focus: AI Engineering • Backend Systems • Full-Stack Development • Distributed Systems

AI-powered GitHub Pull Request Review Platform that analyzes code changes, identifies bugs and security issues, suggests improvements, and generates documentation and unit tests using LLMs.

• Key Features:
  • Automated PR Analysis: Reviews code changes and provides inline code recommendations.
  • Interactive PR Chat: Offers a conversational assistant scoped directly to pull request contents.
  • Unit Test & Doc Generation: Auto-generates testing scripts and code documentation.
  • Review History & Analytics: Dashboard mapping out historical reviews and repository quality over time.
• Tech Stack: React • TypeScript • FastAPI • PostgreSQL • Redis • Docker • LangChain • Google Gemini • GitHub API • JWT

Conversational Business Intelligence platform that allows users to upload CSV data, ask questions in natural language, generate SQL queries, visualize insights, and perform what-if analysis.

• Key Features:
  • Conversational Querying: Ask questions of CSV data in plain natural language.
  • Auto-SQL Generation: Converts questions to valid SQL queries, executes them, and formats results.
  • Dynamic Visualizations: Automatically generates insights charts for data interpretation.
• Tech Stack: Python • FastAPI • React • TypeScript • Gemini • SQLAlchemy • PostgreSQL • Recharts

Intelligent Media Processing Pipeline that processes field-uploaded images, stores metadata, and runs asynchronous analysis checks (blur, brightness, duplicates, OCR) using a distributed worker architecture.

• Key Features:
  • Asynchronous Processing: Uses Celery and Redis to run CPU-intensive processing tasks in the background.
  • 6-Core Analysis Checks: Implements blur checks (Laplacian variance), brightness levels, duplicate detection (Perceptual Hashing), and Tesseract OCR validation.
  • Gemini Fallback: Calls the Gemini 2.5 Flash API as an intelligent OCR recovery method when confidence thresholds fail.
  • Real-time Monitoring: React web dashboard to drag-and-drop uploads and inspect queue health states.
• Tech Stack: React • TypeScript • FastAPI • PostgreSQL • Redis • Celery • Docker • OpenCV • Tesseract OCR • Google Gemini

AI-powered campus maintenance platform that analyzes uploaded images, detects infrastructure issues, and automatically generates maintenance tickets.

• Key Features:
  • Multimodal Detection: Analyzes uploaded infrastructure images to detect maintenance issues.
  • Automated Ticketing: Dynamically structures maintenance tickets and routes them into workflows.
  • Secured System: Features secure JWT user authentication and role management.
• Tech Stack: FastAPI • Gemini AI • LangGraph • JWT • SQLite

RAG-powered legal document assistant that enables users to upload documents, perform semantic search, and interact with legal content using Generative AI.

• Key Features:
  • Semantic Document Search: Performs contextual vector searches over legal materials using FAISS.
  • RAG Q&A Pipeline: Generates highly accurate answers anchored strictly to document context.
• Tech Stack: Python • LangChain • FAISS • Google Gemini • Streamlit • Hugging Face

• Languages: Python • Java • JavaScript • TypeScript • SQL
• AI & Machine Learning: LangChain • LangGraph • Google Gemini • RAG • FAISS • Hugging Face • AI Agents • OpenCV • Tesseract OCR • Scikit-learn • Pandas • NumPy
• Frontend: React • TypeScript • Tailwind CSS • HTML5 • CSS3
• Backend: FastAPI • Node.js • Express.js • Celery • REST APIs
• Databases: PostgreSQL • MongoDB • MySQL • SQLite • Redis
• DevOps & Cloud: Docker • Docker Compose • GitHub Actions • Linux • Nginx
• Tools: Git • GitHub • Postman

• Agentic AI: Advanced Multi-Agent Orchestration & Workflows (LangGraph)
• Model Context Protocol (MCP): Standardizing communication between AI models and local/remote tools
• System Design & Cloud: Distributed Architecture, Kubernetes, Cloud Computing, and CI/CD pipelines

• 🥇 Microsoft Ideathon Winner
• 💡 Smart India Hackathon Participant