Leo Neat
Senior Machine Learning Engineer at Strava
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLeo Neat is a Senior Machine Learning Engineer in San Francisco with nine years of experience building scalable ML systems and production AI platforms. Currently at Strava, he designed an agentic AI platform that integrates third-party LLMs with proprietary athlete data, fine-tuned large foundation models, and shipped a race-time predictor that materially boosted subscriptions and CTR. His background includes personalization and recommendation work at YouTube—scaling models to billions of daily requests—and earlier systems and tooling contributions at Google, including CIFuzz-related open-source fuzzing and CI automation for OSS-Fuzz. He combines deep research experience in model fine-tuning and embeddings with hands-on engineering across mobile, backend, and DevOps, and has a track record of turning prototypes into measurable product impact.
9 years of coding experience
8 years of employment as a software developer
High School Diploma, 4.14, High School Diploma, 4.14 at La Canada High SchoolBachelor of Engineering, Computer Science, 3.88, Bachelor of Engineering, Computer Science, 3.88 at University of California, Santa Cruz - Jack Baskin School of Engineering
Github Skills (15)
kotlin10
git10
automation10
github-ci10
docker10
automations10
githubaction-workflow10
ui-design10
dockers10
android-development10
cicd10
python9
fuzzing8
fuzz-testing8
fuzzer8
Programming languages (9)
Github contributions (5)
googlesamples/android-media-controller
May 2020 - Dec 2020
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:7 reviews, 61 commits, 21 PRs in 7 months
Contributions summary:Leo primarily contributed to the implementation of UI elements, specifically a bottom navigation menu, within the Android application. They added and integrated a bottom navigation menu, modifying the activity's layout and adjusting page navigation behavior. Further commits focused on code formatting and cleaning, indicating a focus on UI development and improving code readability.
google/oss-fuzz
Dec 2019 - Apr 2020
OSS-Fuzz - continuous fuzzing for open source software.
Role in this project:DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:65 commits, 88 PRs, 733 pushes in 4 months
Contributions summary:Leo primarily focused on enhancing the infrastructure and automating the build and testing processes within the OSS-Fuzz repository. They implemented functionality to check out specific commits for projects, manage repository states, and integrate a GitHub Actions CI/CD pipeline. The user's contributions also included fixing issues related to the build environment and adding features for testing the build process.
oss-fuzzfuzz-testingossvulnerabilitiessecurity
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