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)

Vision-based trajectory prediction using self-supervised learning on 1TB autonomous driving dataset

Production platform predicting county-level agricultural yields from satellite and weather data

Real estate platform with AI-powered recommendations and real-time property intelligence