I’m a software engineer in New York, building infrastructure behind recommendations on Instagram, Facebook, and Threads at Meta.
Most of my work is on backend systems, release reliability, and tools that make other engineers’ lives easier. Previously, I worked at Scale AI and Amazon.
I want to build infrastructure that expands what people can do.
Monday mornings at God’s Love We Deliver. Friday evenings at NY Systems Reading Group. Also: lifting, MMA, tennis, poker, and eight-ball pool.
A project I especially enjoyed at Carnegie Mellon: a C++ vehicle-routing simulator that parallelizes A* searches across vehicles with OpenMP. The OpenMP version achieved roughly 6× speedup over the sequential baseline in our benchmarks on 4,096-node graphs. The project also included a CUDA implementation, route validation, and cache profiling.
A spoiler-free social platform for TV and film. We built and deployed the platform with authentication and real-time messaging, giving people a place to talk about what they’re watching without ruining what comes next.
Coming soon…
My work on recommendation infrastructure at Meta keeps me close to machine learning in practice. I want to write about where AI is going: the applied uses that could genuinely improve how we live and work, and the concerns we should take seriously as these systems become more capable.
The thoughts are there.
The sentences are negotiating.
2025–present
Software Engineer
Recommendation Serving Infrastructure
2025
Machine Learning Engineer Intern
Adversarial Red Teaming (Safety Focus)
Post-Training Alignment (Reasoning Focus)
2024
Software Engineer Intern
2022
Data Science Intern
Data Pipelines
Class of 2025