I specialize in backend engineering, distributed workflows, and cloud infrastructure. I enjoy solving complex engineering problems, improving system performance, and building reliable software at scale.
Replacing non-expiring machine credentials safely across 2 independently deployed microservices and 12+ infrastructure components. A distributed, lock-coordinated scheduler drives pluggable rotation strategies with retries and cleanup guarantees.
Designed, led, and owned in production
Raising the supported capacity of VCF SDDC Manager by introducing parallel host processing and optimizing CPU- and memory-intensive APIs and external service calls.
4x capacity (1,000 to 4,000 hosts), 30% faster
Finding the root cause of a critical deadlock affecting multiple production customers by combining thread-dump analysis, JProfiler profiling, and JMeter load testing to reproduce it.
Permanent fix, zero recurrence
Backend engineer on VMware Cloud Foundation, building the services that install, scale, and manage the lifecycle of private cloud infrastructure.
A reinforcement learning project using Project Malmo to teach an agent to optimize for wheat harvesting.
A pipeline for producing high-quality 3D reconstruction of an object from a collection of structured light scans.
Warping from one face to another using piecewise affine warping, used for morphing and face swapping.
A simple Python program to convert images to pointillism style.
I’m a software engineer at Broadcom (formerly VMware) in Palo Alto, CA, where I work on VMware Cloud Foundation. Most of my work is backend: designing services and APIs, orchestrating long-running workflows across microservices, and making them hold up under failure and at scale.
I studied computer science at the University of California, Irvine (B.S., 2018 - 2021) with a focus on machine learning and computer vision, and I still enjoy projects where technology and art overlap.
My inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
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