Available to hire
I’m a senior full-stack engineer specializing in low-latency distributed systems and high-throughput data platforms. I build end-to-end product features—from backend APIs and data pipelines to responsive web interfaces—keeping performance, reliability, and maintainability at the forefront.
I enjoy collaborating with product and design teams to translate requirements into production-ready architectures, and I focus on measurable outcomes, robust observability, and scalable delivery.
Skills
Experience Level
Expert
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Work Experience
Research Developer at Headlands Technologies LLC
June 1, 2021 - PresentDesigned and implemented low-latency trading service components using event-driven architecture, cutting end-to-end decision latency by 28% through performance profiling and removal of lock contention. Built distributed data ingestion and feature computation pipelines with Apache Kafka and Parquet storage, achieving 35% higher throughput with deterministic time-sensitive processing. Developed backend APIs for research-to-execution workflows in Node.js, integrating Redis caching to reduce repeated queries by 42%. Led reliability improvements across microservices by introducing structured observability and automated load testing, reducing incident frequency by 25% over two release cycles. Collaborated with quantitative stakeholders to translate research requirements into production-grade system designs, producing clear technical specs and acceptance criteria.
Senior Software Engineer at LinkedIn
January 1, 2019 - April 1, 2021Engineered scalable feed infrastructure for high-throughput ranking requests using microservices and RESTful APIs, improving p95 response time by 22% under peak load. Implemented backend data processing flows with Apache Kafka and distributed storage patterns, increasing processing throughput by 30% while keeping backpressure behavior predictable. Built client-facing web features with React and TypeScript, integrating with Node.js services to deliver faster UI interactions and improved end-to-end user latency. Optimized database access patterns by redesigning indexing and query plans in PostgreSQL, reducing query CPU time by 18% for hot paths in feed generation. Partnered with product and design teams to refine requirements into system designs, ensuring API contracts, rollout plans, and operational runbooks were ready before launch.
Software Engineer at Cloudera
July 1, 2017 - December 1, 2018Contributed to Apache Impala by improving distributed SQL execution behavior, enabling faster analytics queries on Hadoop-based workloads. Developed and validated performance enhancements for high-performance analytics paths, using profiling to reduce execution overhead on large datasets. Collaborated with engineers across the platform to integrate changes with existing components in the Hadoop ecosystem, improving stability for production workloads.
Education
Master of Science (M.S.) at UC San Diego
January 1, 2016 - December 1, 2017Bachelor's degree at Tsinghua University
September 1, 2012 - June 1, 2016Qualifications
Industry Experience
Software & Internet
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
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Expert
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