Mustafa Bal
Co-Founder CEO at NomadicML
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMustafa Bal is a founder and CEO with 10 years of experience building and optimizing production-grade ML and infrastructure systems, currently leading NomadicML (Pear VC-backed) out of San Francisco to commercialize MLOps for compound AI systems. He previously drove applied ML and platform engineering at Snowflake and accelerated large models (GPT-2/3, Dino) and enterprise PyTorch/ML.NET experiences at Microsoft, focusing on model performance, cost governance, and containerized ML services. An active open-source contributor, he added categorical PredictedLabel support and improved image-classification/TensorFlow integration in the widely used dotnet/machinelearning repo, demonstrating cross-stack fluency in C#, TensorFlow, and PyTorch. A Harvard AB in Computer Science and Linguistics whose thesis won regional recognition, he blends linguistics-informed NLP research with pragmatic MLOps to maximize AI ROI.
10 years of coding experience
7 years of employment as a software developer
AB, Computer Science and Linguistics, AB, Computer Science and Linguistics at Harvard UniversityThomas Jefferson High School for Science and Technology
English, Turkish, French, Arabic, Chinese
Github Skills (13)
net10
tensorflow210
machine-learning10
dotnet10
tensorflow10
ml-dotnet10
csharp10
mlnet10
ml-net10
aspnet10
dotnet-core10
image-classification10
algorithms9
Programming languages (10)
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.
machine-learning-platformdotnetml-netmachine-learningcsharp
mstfbl/NimbusML
Oct 2019 - Feb 2020
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Contributions:165 commits, 270 pushes, 40 branches in 4 months
pythonml-netdata-scienceinteroperabilitymachine-learning
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.