Aaron Beppu
Staff ML Engineer at Hyperscience
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAaron Beppu is a Staff ML Engineer in San Francisco with 13 years of experience building and scaling production ML and data systems across startups and large teams. He led performance and architectural improvements at Sift—speeding training pipelines up to 3x, redesigning prediction serving for live model routing, and implementing calibration and online accuracy tracking for delayed labels—and now applies that production-first mindset at Hyperscience. Deeply practical, he blends ML, data engineering, and typeful programming, contributing to open-source projects like plumatic/schema to improve declarative data validation in Clojure(Script). Aaron’s background in large-scale search and analytics at Etsy and A9 gives him a strong foundation in big-data pipelines and experiment-driven product work, and he often pairs technical migrations with organizational changes to reduce long-term debt.
13 years of coding experience
12 years of employment as a software developer
BA, Cognitive Science, BA, Cognitive Science at University of California, Berkeley
Stackoverflow
31reputation
69reached
0answers
1question
Github Skills (8)
clojure10
functional-programming10
schema-design10
data-validation10
clojure-cli10
testing9
scala-macros6
scala6
Programming languages (6)
Github contributions (5)
plumatic/schema
Apr 2013 - Jun 2013
Clojure(Script) library for declarative data description and validation
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits in 2 months
Contributions summary:Aaron primarily contributed to the `plumatic/schema` repository, which focuses on data description and validation for Clojure(Script). Their commits focused on modifying schema definitions, enhancing set schema functionality to align with map schemas, and correcting JSON parsing of data types. The user also introduced documentation and made idiomatic improvements to the schemata implementation. Overall, their work centered around refining the library's core functionality and improving its usability.
validationdeclarativeschema-validationclojurescriptclojure-spec
abeppu/toychest
Apr 2013 - Oct 2013
Contributions:7 commits in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.