Harry Volek
Senior Software Engineer at Instacart
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolHarry Volek is a Senior Software Engineer with eight years of experience building production-ready systems across fast-moving logistics and e‑commerce teams, currently at Instacart after stints at Veho and Gopuff. Trained as an electrical engineer at the University of Pittsburgh, he blends hardware-minded rigor with software craftsmanship, shipping backend services and tooling for high-throughput, real-world applications. His background includes hands-on machine learning engineering—he implemented and debugged PyTorch speaker‑verification training and embedding tooling—showing comfort across model training, evaluation, and system integration. Harry moves between code and operational concerns, having scaled projects through rapid startup growth phases and into larger platform contexts. Based in Philadelphia, he brings a pragmatic, detail-oriented approach and a knack for surfacing subtle bugs and configuration issues before they reach production.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at University of Pittsburgh
Github Skills (6)
pytorch10
machine-learning10
python10
deep-learning9
yaml8
data-preprocessing7
Programming languages (3)
Github contributions (5)
HarryVolek/PyTorch_Speaker_Verification
Sep 2018 - Feb 2020
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
Role in this project:
ML Engineer
ML EngineerContributions:20 commits, 3 PRs, 17 pushes in 1 year 4 months
Contributions summary:Harry focused on implementing and modifying components for speaker verification, a machine learning task. Their contributions included changes to the training and testing scripts within the PyTorch framework. They altered configuration handling, fixed division bugs, and added a script for creating embeddings compatible with UIS-RNN. This suggests involvement in model training, evaluation, and potentially, integrating the project with other systems.
pytorchend-to-endspeakerspeaker-verificationloss
speedify/rpi-streaming-experiment
Sep 2019 - Dec 2020
Contributions:1 review, 7 commits, 6 pushes in 1 year 3 months
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