Keren Fuentes
Research Engineer at Independent
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolKeren Fuentes is a research engineer specializing in Natural Language Processing with 11 years of software engineering experience and a strong research background from Penn's NLP lab. Currently engaged in independent AI research on mechanistic interpretability and ML for healthcare, she also contributes to production ML tooling—having improved ONNX export and scoring mechanisms in the prominent ML.NET project. Her industry experience spans AI platform engineering at Microsoft and an AI residency at Meta focused on LLM robustness, bridging academic rigor with product-ready systems. Based in New York, she moves fluidly between research and engineering roles and will join Microsoft's AI platform team in the fall, bringing a rare combination of mechanistic model insight and practical interoperability work.
11 years of coding experience
3 years of employment as a software developer
BS & MS in Computer Science Minors: Math, BS & MS in Computer Science Minors: Math at University of Pennsylvania
Spanish
Github Skills (12)
machine-learning10
model-conversion10
onnx10
mlnet10
mldotnet10
binary-classification9
regression9
dotnet8
algorithms8
net8
asp-net8
ml7
Programming languages (7)
Github contributions (5)
dotnet/machinelearning
Sep 2019 - Jan 2021
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
ML Engineer
ML EngineerContributions:14 reviews, 39 commits, 91 PRs in 1 year 4 months
Contributions summary:Keren primarily focused on enhancing the ML.NET framework. Their contributions include implementing and fixing ONNX export capabilities for various machine learning models, including regression and binary classification trainers. They also added support for ONNX conversion for new trainers such as PriorTrainer and NaiveBayesMulticlassTrainer, which improve the framework's model interoperability. Furthermore, they made several code modifications and improvements related to the framework's scoring mechanism.
machine-learning-platformdotnetml-netmachine-learningcsharp
Lynx1820/multimodal_embedding
Mar 2019 - Jul 2019
Contributions:92 pushes in 3 months
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