I’m a Software Engineer II at StubHub in New York, working on listing systems,
event-driven product flows, and experimentation. Before that I interned at Amazon
(Alexa inference) and Datadog (DDSQL). I studied EECS at UC Berkeley.
I like systems work that shows up in a product: architectures you can operate, tests
that move a metric, tools the team can actually ship.
Re-architected the alternative listing classification engine and data model,
decomposing 3,000+ lines of monolithic business logic into a modular, scalable
architecture with rich telemetry for diagnosing listing eligibility, performance
bottlenecks, and bugs.
Helped modernize the automatic substitution engine by migrating monolithic,
cron-based orchestration to a scalable event-driven architecture that evaluates
every listing created on the site, so the product can incorporate new signals
and optimize resolution decisions for positive buyer outcomes.
Modernized the team’s internal tool suite by migrating IIS-hosted .NET Framework
applications to independently deployable .NET Core services with automated CI/CD
pipelines.
Launched and analyzed 50+ A/B tests, independently driving a 10% reduction in
buyer refund rate.
Alexa Deep Learning Core: low-latency, memory-optimized C++ inference engines
for in-cloud and on-device Alexa Speech models, on generic and specialized chips.
Integrated the AWS Neuron Runtime into Alexa’s inference engine, enabling
inference on Inferentia with a 4× cost reduction vs NVIDIA CUDA at equivalent
latency.
Used multithreading and load balancing on Inferentia to increase throughput by
2×.
Optimized DDSQL, a SQL-like language for querying Datadog’s services, using Go.
Implemented RBAC for a subset of queries, improving security for customer data.
Implemented multithreading to analyze the success rate of millions of queries,
improving query language support by 50%, and sped up time-intensive queries by
5×.
UC Berkeley College of Engineering
Academic Intern
– August 2022
Supported 50+ students weekly as a teaching assistant for CS61C (Computer
Architecture), teaching C, virtual memory, and caching in lab and discussion
sections.
Education
University of California, BerkeleyBerkeley, CA · May 2024
B.S. Electrical Engineering and Computer Science · GPA 3.63
Coursework: Data Structures, Computer Architecture, Operating Systems, Database Systems,
Algorithms, Discrete Math and Probability Theory, Computer Security, Artificial
Intelligence, Linear Algebra, Differential Equations
Projects
FileSys
February 2024 – March 2024
Secure file sharing system in Go: user authentication, file storage, and sharing,
built with cryptographic library functions.