Kevin Nguyen
@kevinnguyen7
I build reliable, low-latency distributed systems and ML infrastructure serving millions of users.
United StatesWhat I'm looking for
At Google, I build ad-serving systems and ML infrastructure that serve millions of daily requests. I redesigned an ad-serving service with asynchronous Python, gRPC, and Protobuf, cutting p99 latency by 25ms and increasing throughput 30%.
I've improved reliability from 99.5% to 99.9% through fault-tolerant microservices, graceful degradation, and canary rollouts. I also built experimentation, feature-store, and model-deployment workflows that accelerated A/B testing and improved ranking-system CTR by 2%.
Previously, I built performance benchmarking and regression-analysis systems for Google Maps, YouTube, and Gmail. Those systems processed 10,000+ daily tests, enabled 2,000+ engineers to self-serve validation, and prevented production performance regressions.
At AT&T, I built mobility forecasting pipelines, churn models, and a notification platform serving 10,000+ employees. I enjoy mentoring engineers and improving the reliability, velocity, and observability of production systems.
Experience
Work history, roles, and key accomplishments
Supported ad-serving services handling millions of daily requests, redesigned asynchronous ad-serving to Python architecture using gRPC and Protobuf, and improved service reliability from 99.5% to 99.9%.
Built and maintained performance benchmarking systems for Maps, YouTube, and Gmail, processing 10,000+ daily performance tests and detecting 100+ monthly regressions through Python pipelines on Borg.
Built PySpark pipelines on Hadoop to generate predictive features for mobility forecasting models and developed churn prediction models using scikit-learn and Palantir Foundry.
Functioned as full-stack developer for a financial/resource/contract management tool impacting 10,000+ employees and managing a $4B budget, and designed a notification platform distributing 40-50K weekly notifications.
Developed an OBIEE test framework for load testing and data validation, and built a test generation tool that reduced manual operation time by 90%.
Education
Degrees, certifications, and relevant coursework
Texas Christian University
Bachelor of Science, Computer Science
2014 - 2017
Bachelor of Science in Computer Science from Texas Christian University, completed in 2017.
Tarrant County College
Associate of Arts, General Studies
2013 - 2014
Associate of Arts from Tarrant County College, completed in 2014.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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