About

I work on agent quality and efficiency at Google. My work focuses on making agent systems faster, more reliable, and less expensive. I'm especially interested in ML inference, GPU systems, compilers, and runtimes.

I also founded Strust, an independent benchmark for code conversion and conformance in legacy modernization. I earned an MS in Machine Learning and Bioinformatics from Columbia University and two BS degrees from UC Santa Barbara: Chemical Engineering and Statistics and Data Science.

Outside of work I play cello, backpack, write, and release music as Copperbelt.

Elsewhere: software, social, research / projects, writing, music, photos.

Latest writing

all writing

Jul 9, 2026linux, scheduling, performance, systems

Why p99 Increases While Average CPU Utilization Stays Flat

A request can accumulate queueing delay that average CPU utilization does not reveal, so measure its path before increasing the worker count.

Current and recent

I work on agent framework efficiency and quality at Google Cloud AI.
I founded Strust to measure code-conversion performance and conformance independently.
I earned an MS in Machine Learning and Bioinformatics at Columbia University.
I released jazz and blues recordings as Copperbelt.

Education

Columbia University: MS in Machine Learning and Bioinformatics.
UC Santa Barbara: BS in Chemical Engineering.
UC Santa Barbara: BS in Statistics and Data Science.

Selected work

Current work and collaborations:

Google Cloud AI (agent framework efficiency and quality)
Strust (code-conversion benchmarks and conformance metrics)
Copperbelt (jazz/blues releases)