Vidur Satija
Senior Machine Learning Engineer at Wayve
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVidur Satija is a Senior Machine Learning Engineer with a decade of experience building and leading ML teams to deliver production-grade models and platform tooling. He has led multi-team initiatives in applied research and enterprise-facing ML at Raft and now focuses on model release and performance assessment at Wayve. His background spans document understanding, few-shot learning, speech tech and embedded vision, and he brings hands-on expertise with PyTorch, TensorFlow, Kubernetes, FastAPI and CI-driven deployments. An open-source QA contributor to the widely used matplotlib project, he prioritizes robustness and reproducibility in core ML and visualization components. Outside work he volunteers regularly and pursues interests in neuropsychiatry, economics and sports, which inform a multidisciplinary approach to problem solving.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Visvesvaraya National Institute of Technology
English, Spanish, Portuguese, Hindi, Latin, Polish
Stackoverflow
21reputation
1kreached
1answer
1question
Github Skills (9)
python10
matplotlib10
testing10
numpy9
data-visualisation9
data-visualization9
data-visualizations9
sequence-to-sequence6
tensorflow6
Programming languages (7)
Github contributions (5)
matplotlib/matplotlib
Mar 2017 - May 2017
matplotlib: plotting with Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 4 PRs, 37 comments in 1 month
Contributions summary:Vidur's contributions primarily revolve around testing and quality assurance within the matplotlib project. They implemented and modified tests, specifically for color handling, including copy functionality and edge cases. This work aimed to ensure the library's robustness and prevent regressions, demonstrating a focus on the reliability of core functionalities. The user also addressed specific issues related to color maps, contributing to the overall stability and correctness of the plotting library.
pythondata-sciencegtkdata-visualizationplotting
vidursatija/vidursatija
Aug 2020 - Oct 2022
Contributions:33 commits, 32 pushes, 1 branch in 2 years 3 months
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