Luis Quintanilla
Program Manager at Microsoft
Weehawken, New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolLuis Quintanilla is a Program Manager at Microsoft with seven years of experience bridging data science, machine learning, and product content delivery. He holds a Master's in Computer Science from DePaul and has a background that spans AI consulting, data analytics, and course assistance at Columbia Engineering, which informs his ability to translate technical ML concepts for diverse audiences. As an active contributor to Microsoft’s prominent dotnet machine learning samples and notebooks, he has improved model evaluation, ONNX-based object detection pipelines, and tutorial clarity—work that supports widely used .NET documentation. Based in Weehawken, NJ, he combines hands-on ML engineering skills with program management to drive practical, maintainable solutions and documentation that help developers adopt ML.NET effectively.
7 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at DePaul UniversityBachelor, Finance, Management Information Technology, Bachelor, Finance, Management Information Technology at Aurora University
Spanish
Github Skills (21)
mldotnet10
evaluation10
net10
machine-learning10
dotnet10
onnx10
asp-net10
eval10
mlnet10
dotnet-core10
computer-vision10
csharp10
data-analysis10
tensorflow9
dotnet-interactive9
Programming languages (17)
Github contributions (5)
dotnet/csharp-notebooks
May 2022 - Nov 2022
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.
Role in this project:
ML Engineer
ML EngineerContributions:45 reviews, 39 commits, 17 PRs in 5 months
Contributions summary:Luis primarily contributed to a machine-learning notebook focused on model evaluation. Their work included installing dependencies for ML.NET and data analysis, loading data, splitting data into training and testing sets, and creating training pipelines. The commits also involved the evaluation of a model using metrics and explaining the model's decisions.
dotnetget-startednotebooknotebooksvs-code
dotnet/machinelearning-samples
Jun 2019 - Dec 2022
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Role in this project:ML Engineer
ML EngineerContributions:26 reviews, 52 commits, 95 PRs in 3 years 6 months
Contributions summary:Luis primarily refactored and improved an ML.NET ONNX object detection console application sample. Their commits demonstrate work on parsing the outputs of an ONNX model, including bounding box extraction and filtering. They also implemented and refined core components of the object detection pipeline, indicating expertise in computer vision and deep learning model integration within the ML.NET framework. The changes show a focus on enhancing the application's functionality and clarity.
machine-learning-platformdotnetml-netmlmachine-learning
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