Mustafa Bal
Co-Founder & CEO at NomadicML
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMustafa Bal is a founder and machine learning engineer with 11 years of experience building and optimizing complex systems, now leading NomadicML to commercialize AI agents for semantic video understanding. He combines applied ML production experience from Snowflake and Microsoft with research roots in NLP and distributed systems from Harvard and IBM, and taught core CS courses as a teaching fellow. His open-source contributions include improving ML.NET image classification pipelines, showing practical expertise integrating TensorFlow models and type-safe prediction outputs. Based in San Francisco and a TJHSST alumnus, he blends academic rigor with hands-on engineering and a knack for turning research ideas into scalable products.
11 years of coding experience
7 years of employment as a software developer
AB, Computer Science and Linguistics, AB, Computer Science and Linguistics at Harvard UniversityAdvanced Studies Diploma, Advanced Studies Diploma at Thomas Jefferson High School for Science and Technology
English, Turkish, French, Arabic, Chinese
Github Skills (11)
net10
asp-net10
machine-learning10
dotnet10
tensorflow10
mlnet10
csharp10
mldotnet10
image-classification10
dotnet-core10
algorithms9
Programming languages (11)
Github contributions (5)
dotnet/machinelearning
Oct 2019 - Dec 2020
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
ML Engineer
ML EngineerContributions:32 reviews, 56 commits, 180 PRs in 1 year 2 months
Contributions summary:Mustafa primarily contributed to the `dotnet/machinelearning` repository by implementing categorical value support for the `PredictedLabel` within the Image Classification Transfer Learning example. Their work included modifications to the estimator pipeline for `KeyDataViewType` bindings, output column type changes, and the addition of tests for the Prediction Engine. Furthermore, they addressed issues related to annotations within the `IEstimator.cs` file and updated code related to image classification transforms, showcasing proficiency in TensorFlow model integration and model evaluation.
dotnetmachine-learningml
mstfbl/pytorch
Jan 2021 - Oct 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:12 reviews, 77 commits, 17 PRs in 9 months
gpu-accelerationneural-networkpython
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