Institutional Background
I build "Institutional Grade" systems designed for scale, precision, and zero-downtime.
Systems engineering
Expertise in C++ (High-frequency systems), Python, TypeScript, and SQL.
Infrastructure
Building scalable data pipelines and high-availability architecture on GCP/AWS.
Data Integrity
Ensuring precision and security in regulated financial environments.
Bloomberg LP
At Bloomberg, I engineer infrastructure for high-scale data systems. My work focuses on building the high-scale data plumbing and systems that power global financial institutions.
Google (Machine Learning & Scale)
As part of Google's Machine Learning Solutions team (Sunnyvale), I optimized TPU deployment and cloud resource management. I build systems designed for scale, efficiency, and zero-downtime.
Architecture & Technologies
Languages
C++ (High-frequency systems), Python, TypeScript, SQL.
Infrastructure
GCP/AWS, Proprietary Orchestration, Redis.
Focus
Distributed Systems, Data pipelines, High-Availability Architecture.
Projects
Selected works and experiments.
BeChef
Full-stack mobile app leveraging Gemini Vision models for real-time data extraction from food and ingredients.
Guessdle
Scaled a viral application to 200k+ users with Python Edge functions and hybrid AI models, optimizing operating costs by 90%.
Lyricle
High-traffic React game handling 1M+ monthly visits with optimized server-side rendering and performance.
Get in Touch
Based in New York City.