Pete Luferenko
Engineering Manager at Shopify
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPete Luferenko is an engineering manager based in Redmond with seven years of professional experience and a deep background in applied machine learning and backend systems. He has held senior technical roles at Microsoft and Facebook and now leads engineering at Shopify, bringing both large-company rigor and hands-on development chops. At Microsoft he contributed to internal ML libraries and to the well-known ML.NET open-source project—converting trainers to estimators and integrating TensorFlow capabilities—demonstrating an ability to bridge research-grade ML with production APIs. Earlier roles include leading text-to-speech architecture at Yandex and building robust web services at WebMoney, reflecting a strong foundation in systems, signal processing, and distributed services. Pete combines technical leadership with practical engineering: he mentors teams, drives API and data-model improvements, and still contributes code to open-source ML tooling. He holds a master’s in Mathematics and Computer Science from Lomonosov Moscow State University, underscoring a rigorous theoretical grounding behind his product-focused engineering.
7 years of coding experience
16 years of employment as a software developer
Lomonosov Moscow State University
Github Skills (10)
machine-learning10
mlnet10
csharp10
mldotnet10
dotnet-core10
apidoc9
tensorflow9
api9
algorithms8
testing7
Programming languages (1)
Github contributions (5)
dotnet/machinelearning
Jul 2018 - Dec 2018
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:36 commits, 96 PRs, 44 pushes in 4 months
Contributions summary:Pete contributed to the implementation of API scenarios with Estimators, enhancing the functionality of the ML.NET framework. The user converted several trainers, including those related to SDCA, text, image, and normalizers, into estimators, improving code structure. The user also added enhancements for the data view and made key modifications to integrate with TensorFlow. The user also worked on multiclass evaluator and implemented functionalities regarding the custom mapping transformer.
machine-learning-platformdotnetml-netmachine-learningcsharp
Zruty0/machinelearning
Jul 2018 - Dec 2018
ML.NET is an open source and cross-platform machine learning framework for .NET.
Contributions:1 PR, 273 pushes, 65 branches in 5 months
machine-learning-platformdotnetml-netmlmachine-learning
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