I'm a Software Engineer focused on building scalable full-stack and AI-driven systems. I work across the entire stack — from React/TypeScript frontends to FastAPI backends — and on the side I dig into ML research, LLM interpretability, and computer vision.
- Currently pursuing my M.S. in Applied Data Science at San Jose State University (GPA: 3.8)
- Won the SpartUp Spring Hackathon 2025, hosted by Cisco and SJSU
- Certified AWS Cloud Practitioner and AWS AI Practitioner
- Published researcher with a patent in ML for hate speech detection (No. 202341050260A)
- Previously a Software Engineer (Data) at VE Projects Pvt Ltd, shipping APIs handling 500K+ daily requests
Full-stack mechanistic interpretability platform that fine-tunes LLMs with Process Reward Models (PRM) via LoRA adapters. Features 5 explainability endpoints (token confidence, attention weights, logit lens, gradient attribution, hidden state norms) with under 1.1s compute overhead per analysis. React + TypeScript dashboard with D3.js and Recharts visualizations. |
Real-time interview analysis engine using 8+ Computer Vision models at 30 FPS, computing 50+ behavioral metrics with 95%+ accuracy. Integrated Claude, Groq, Deepgram, and ChromaDB for role-specific coaching. Production FastAPI + React platform with 20+ endpoints processing 1,800+ frames/min, cutting interview prep time by 60%. |
AI platform processing 3GB+ repositories with diagram generation in under 6s and podcast creation in under 3 minutes via ElevenLabs streaming. Conversational AI powered by Qwen-32B with sub-200ms response latency. Full-stack system deployed via Docker on AWS EC2 with concurrent processing. |
FastAPI + TensorFlow system running an EfficientNet-B0 + BiLSTM model to analyze 8-frame clips, classify four cricket shot types, and evaluate form quality with real-time confidence scoring. Full inference pipeline with OpenCV frame parsing, async Keras serving, and REST endpoints optimized for low-latency predictions. |
Languages
Frontend
Backend & APIs
Databases
AI / ML
DevOps & Cloud
M.S. in Applied Data Science | CGPA: 3.8 / 4.0 | Aug 2024 – May 2026
Big Data, Machine Learning, Data Warehousing & Pipelines, Distributed Systems
B.Tech in Computer Science and Engineering | GPA: 3.3 / 4.0 | Aug 2019 – May 2023
Database Management Systems, Distributed Systems, Data Structures and Algorithms
- Winner — SpartUp Spring Hackathon 2025, hosted by Cisco and SJSU
- AWS Certified Cloud Practitioner
- AWS Certified AI Practitioner
- Patent: ML Techniques for Hate Speech Detection (No. 202341050260A)
- Publication: Student Classification (ICRTCS-23, Paper ID: ICRTCS-23-033)