- Most recently Software Engineer at MaterialsIN (SUNY Research Foundation)
- Previously Software Engineer at Blox.xyz | ChargePoint | Coding Blocks
- MS in Computer Science (AI/ML) - University at Buffalo, SUNY (Dec 2025)
- I build multi-agent AI systems, real-time data pipelines, and full-stack applications
Exploring agentic workflows and tool-use patterns with LLMs.
Languages: Python, C++, JavaScript, TypeScript, SQL, C#, PHP
Frameworks: React, Node.js, Express.js, FastAPI, LangChain, Tailwind CSS, Material-UI, Laravel
Libraries: FAISS, Pydantic
Cloud & ML: AWS (Lambda, Kinesis, SageMaker, CloudWatch, API Gateway, ECR, ALB, ASG, ElastiCache, S3), OpenAI, Vercel, Render
Databases: PostgreSQL, MySQL, MongoDB, MS SQL Server, Redis
Tools: Docker, Git, CI/CD, Terraform
| Project | What it does | Tech |
|---|---|---|
| CodeCoach-AI | Voice-based coding interview coach with custom RAG pipeline - speak naturally, get instant explanations & practice problems | LiveKit, Deepgram, OpenAI, ElevenLabs, FAISS, React |
| SignalTrace | AI-powered log triage tool - auto-clusters errors, ranks by priority, generates LLM explanations with hallucination guardrails | FastAPI, Pydantic, OpenAI, React, Tailwind CSS |
| Bio Research Agent | Scientific literature agent that synthesizes papers and validates every citation - hallucinations auto-caught via Pydantic | Python, Claude API, Semantic Scholar API |
| Real-Time Anomaly Detection | Event-driven pipeline for manufacturing quality control - streaming sensor data, real-time ML inference, 40% cost reduction (proprietary - built at SUNY RF) | AWS (Kinesis, Lambda, SageMaker), React, Terraform, Docker |
