Summary
Kevin Kuo is a Software Engineer with nine years of experience specializing in performance optimization for distributed systems, most recently tuning Microsoft’s Distributed Query Service to handle millions of entities per request. He has strong backend skills in C#, SQL, and Kusto and a track record of shipping high-throughput services for Bing Ads infrastructure. His background blends academic research—coauthoring an IEEE paper on scalable scholarly big data and building CiteSeerX prototypes—with hands-on SRE and observability work using OpenTelemetry and tracing. Kevin has built production APIs and tooling at enterprises like Cargill and Capital One and led multidisciplinary teams on NLP, CV, and signal-processing projects during his university years. He’s entrepreneurial too, listed as a founder of a self-driven venture starting in 2025, showing a shift toward product ownership in addition to deep engineering. Notably, his academic projects combined modern ML techniques (BERT, doc2vec) with classical IR baselines, reflecting a pragmatic approach to applied research.
9 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Dulaney High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Penn State University