MSCS student at the University of Southern California focused on building AI-powered software systems, GenAI applications, and scalable backend platforms.
I enjoy working at the intersection of:
- Artificial Intelligence
- Backend Engineering
- Full-Stack Development
- Semantic Retrieval & RAG Systems
- Computer Vision
- Building AI-powered systems using FastAPI, PostgreSQL, and vector databases
- Exploring GenAI workflows, semantic search, and retrieval-augmented generation (RAG)
- Developing scalable full-stack applications with React, TypeScript, and cloud-native tooling
Python • Java • C++ • JavaScript • TypeScript • SQL
FastAPI • Flask • React • Node.js • Angular • Docker • GitHub Actions
TensorFlow • PyTorch • Scikit-learn • Hugging Face • OpenCV • Gemini AI • RAG • PGVector
PostgreSQL • MongoDB • Supabase • AWS • Azure
AI-powered onboarding and training platform that transforms organizational knowledge into interactive learning experiences using semantic retrieval, vector embeddings, and GenAI workflows.
Gamified prompt engineering platform built using React and Gemini AI with automated AI-based response evaluation.
Real-time ISL recognition system using CNN-LSTM architectures, TensorFlow, OpenCV, and Flask APIs.
