Projects
AI and ML projects with real technical depth.
These projects reflect my strongest strengths: agent orchestration, RAG systems, ML systems, AI product design, and practical full-stack delivery.
Incident Response MCP System
An autonomous incident investigation platform built with a TypeScript MCP server, Python, LangGraph, AWS Bedrock, Pinecone, and React for incident analysis and postmortem generation.
- TypeScript
- Python
- LangGraph
- AWS Bedrock
- Pinecone
- React
PA Appeal Evidence Assistant
An agentic RAG product using Google Gemini 2.5, Voyage AI embeddings, Redis semantic caching, Supabase PostgreSQL, and a React interface for evidence retrieval workflows.
- Voyage AI
- Supabase
- Redis
- FastAPI
- Google Gemini
- React
Financial Earnings Intelligence Agent
A multi-agent LangGraph system fine-tuned on Mistral-7B with QLoRA, streaming live financial insights through Redis pub/sub into a React and Recharts dashboard.
- Mistral-7B
- QLoRA
- Redis
- LangGraph
- React
- Recharts
Intelligent Research Architect
An AI-powered research assistant for literature review, paper discovery, and document-aware research workflows built with FastAPI, LangGraph, Gemini, and Chroma.
- Python
- FastAPI
- LangGraph
- LangChain
- Google Gemini
- Chroma
- Tavily
- React
- TypeScript
- Vite
- Tailwind CSS
DOCUAI
A serverless document question-answering system built with AWS Lambda, Amazon Textract, and AWS Bedrock using Llama 3 70B Instruct.
- Python
- AWS Lambda
- Amazon Textract
- AWS Bedrock
- API Gateway
- S3
- IAM
Sign Language Recognition
A real-time sign language recognition system built with convolutional neural networks and OpenCV for gesture translation from webcam input.
- Python
- TensorFlow/Keras
- OpenCV
- NumPy
Smart Attendance
A computer vision-based smart attendance system that uses facial recognition to automatically mark attendance in real time.
- Python
- OpenCV
- face_recognition
- NumPy
- Pandas