I build scalable software systems at the intersection of AI, infrastructure, and product—from distributed training pipelines to production APIs serving hundreds of thousands of users.
Core Strengths:
- Backend Engineering → High-throughput APIs, microservices, database optimization
- AI/ML Systems → Model training, serving, monitoring, and deployment at scale
- Cloud Infrastructure → Kubernetes, CI/CD, observability, cost optimization
- Full-Stack Development → End-to-end product delivery with modern frameworks
Currently: MS Computer Engineering @ NYU (Graduating May 2026) | SWE @ Trinity Life Sciences
Previously: Built production systems at BlueLake (500K MAU)
Autonomous Vehicle Planning System • Graduate Research
Vision-based trajectory prediction using self-supervised learning on 1TB autonomous driving dataset
MLOps Crop Yield Platform • End-to-End ML System
Production platform predicting county-level agricultural yields from satellite and weather data
RealtorBuddy Platform • Full-Stack Application
Real estate platform with AI-powered recommendations and real-time property intelligence
Cloud Provider Aggregator • Full-Stack Application
A unified cloud storage system that mounts multiple cloud providers (Google Drive, OneDrive, iCloud) as a single virtual filesystem.
Lightweight experiment tracking for HPC clusters.
NextJS web app to sync playlists across multiple streaming platforms
Extention for VS codium based IDEs to sync AI chat history across IDEs and machines