Mehdi Drissi
Machine Learning Engineer at Snap
California, United States
Summary
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RockstarMehdi Drissi is a Machine Learning Engineer with a decade of experience building computer vision, recommender systems, and ML platform infrastructure at companies including Ouster, TikTok, and Snap. A Harvey Mudd math/computer science graduate based in California, he blends rigorous theoretical grounding with production-grade engineering. He has hands-on expertise deploying vision models and personalization systems at scale, and contributes to ML developer ergonomics through work on Python type stubs. Notably, his open-source contributions to typeshed—improving TensorFlow typings—help teams catch bugs earlier and improve IDE support across the ML stack. Colleagues rely on him to translate complex math into reliable, maintainable code and tooling that accelerates model development.
10 years of coding experience
Github Skills (12)
mypy10
dynamic-typing10
optional-typing10
static-typing10
tensorflow10
strong-typing10
python10
implicit-typing10
stub10
stubs10
protobuf8
protobuffer8
Programming languages (8)
Github contributions (5)
python/typeshed
Jan 2022 - Jan 2023
Collection of library stubs for Python, with static types
Role in this project:
Back-end Developer
Back-end DeveloperContributions:113 reviews, 4 commits, 16 PRs in 11 months
Contributions summary:Mehdi's contributions primarily involve the development and maintenance of stubs, likely for a Python library used for static type checking. They focused on creating and updating type hints for the TensorFlow library, including core modules such as `tensorflow`, `tensorflow.math`, `tensorflow.keras`, and protobuf files. These stubs enhance type safety and code completion within projects utilizing TensorFlow, as evidenced by updates to aiofiles and mypy-extensions as well.
mypystatic-typingpythonstubtypechecker
hmc-cs-mdrissi/neural_nets_research
Sep 2017 - Jan 2019
Contributions:197 commits, 59 pushes, 1 comment in 1 year 3 months
pythondeep-learningnetsneural-networksmachine-learning
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