Bola Malek
Product Lead at Baseten
Los Angeles Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolBola Malek is a product-focused engineer with 11 years of experience bridging research and production, currently leading product at Baseten after succeeding as a Forward Deployed Engineer. Trained in EECS at UC Berkeley and with an MS in Physics from MIT, Bola moves fluidly between prototyping hardware at Rivian, research at MIT CSAIL and Berkeley labs, and shipping ML-serving features in open-source projects like Baseten’s truss. They combine front-end polish—evident in contributions to MIT’s computational-thinking course site—with MLOps pragmatism, improving model deployment, dependency inference, and error handling. Based in Los Angeles, Bola blends scientific rigor with hands-on product delivery, often surfacing UX improvements that make complex systems more accessible to users.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Physics, Master of Science - MS Physics at Massachusetts Institute of TechnologyBachelor of Science (BS) Electrical Engineering and Computer Science, Bachelor of Science (BS) Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Github Skills (15)
html10
css10
packaging10
machine-learning10
docker10
website-development10
python10
dockers10
cicd9
open-source9
api8
github-ci8
apim8
api-design8
githubaction-workflow8
Programming languages (13)
Github contributions (5)
basetenlabs/truss
Jul 2022 - Jan 2023
The simplest way to serve AI/ML models in production
Role in this project:
MLOps Engineer
MLOps EngineerContributions:14 releases, 570 reviews, 36 commits in 6 months
Contributions summary:Bola's contributions primarily focus on enhancing the functionality and usability of the `truss` project, which centers around serving AI/ML models in production. Their work includes implementing features like skipping confirmation prompts during initialization and adding bundled package functionality. The user also significantly improved the build process by inferring dependencies and addressing versioning issues, as well as adding error handling to model loading. These contributions demonstrate an understanding of model deployment and operational concerns.
pythonboilerplatedata-scienceboilerplate-codepackaging
mitmath/computational-thinking
Feb 2021 - May 2021
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 256 commits, 12 PRs in 3 months
Contributions summary:Bola primarily contributed to the course website's front-end development by modifying HTML and CSS files. They focused on improving the user interface and experience. Their contributions involved adding and modifying course content, including adding navigation links and styling elements. Further commits updated and added the lecture notes, and fixed some typos.
falljulia-languagejuliamitpluto-notebooks
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