Jerry Huang
Software Engineer, AI ML Infrastructure at Kleiner Perkins
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJerry Huang is a software engineer specializing in AI/ML infrastructure with seven years of experience building production systems across startups and large tech companies. Currently at Google and serving as an Engineering Fellow at Kleiner Perkins, he has focused on operationalizing machine learning platforms during roles at Glean and Metabase and internships at TikTok, Confluent, and Roblox. His background combines graduate-level CS training from Georgia Tech with hands-on experience in authorization, data governance, and trust & safety domains, giving him a pragmatic lens on secure, scalable ML tooling. Comfortable moving between research-adjacent problems and production constraints, he’s known for turning complex infrastructure needs into reliable, deployable solutions. An East Coast native based in New York, he brings both startup agility and big-tech rigor to AI platform engineering.
7 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyHigh School Diploma, High School Diploma at Thomas Jefferson High School for Science and Technology
Github Skills (35)
json10
avro10
confluent10
json-schema10
connect10
confluent-schema-registry10
kafka10
sasl10
java10
scala10
confluent-platform10
rest-api10
apache-kafka10
schema10
protobuf10
Programming languages (5)
Github contributions (5)
confluentinc/security-examples
Nov 2019 - Jan 2020
Repository for containing configuration files for different security aspects.
Contributions:15 PRs, 15 pushes, 1 branch in 1 month
security
jeffhuang26/rest-utils
Mar 2020 - Apr 2020
Utilities and a small framework for building REST services with Jersey, Jackson, and Jetty.
Contributions:4 pushes in 18 days
apirestfuljerseyrestjetty
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