Jakub Powierza

(Senior) Machine Learning Engineer at Wayve

London, England, United Kingdom
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Summary

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Senior
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Top School
Jakub Powierza is a senior machine learning engineer with 11 years' experience building and productionising computer vision and ML infrastructure for companies from Intel to Niantic and Wayve. He specialises in optimizing end-to-end models for low-latency, on-device and hardware-specific inference, having shipped scalable training and continuous delivery pipelines, model converters, and benchmarking infrastructure across cloud and edge. His research contributions include co-authoring a CVPR’25 paper on 3D Gaussian splatting and driving practical improvements in semantic segmentation, depth estimation and AR features used across Niantic’s products. Pragmatic and hands-on, he has also contributed mobile client fixes in prominent open-source projects (e.g., Rocket.Chat iOS) and built cost-efficient multi-GPU training platforms and real-time inference pipelines for high-profile deployments. Based in London and a film photographer outside work, he blends rigorous engineering with a creative eye for detail.
code11 years of coding experience
job10 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Gdańsk University of Technology
languagesPolish, English, Japanese
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Stackoverflow

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111reputation
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8questions
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Github Skills (18)

ios10
mobile-development10
swift10
api-design9
testing9
xctest9
uitest9
rocket7
chat7
flask6
google-chrome6
3d6
angularjs6
bash6
gcc6

Programming languages (12)

TypeScriptC++CSSShellSWIGMakefileVueGo

Github contributions (5)

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RocketChat/Rocket.Chat.iOS

Feb 2018 - Apr 2018

Legacy mobile Rocket.Chat client in Swift for iOS
Role in this project:
userMobile Developer (iOS)
Contributions:8 commits, 2 PRs, 16 comments in 1 month
Contributions summary:Jakub primarily contributed to the iOS Rocket.Chat client, focusing on enhancing its compatibility with Rocket.Chat servers hosted on subdirectories. They modified core components like API requests, URL handling, and authentication flows to accommodate these configurations. Furthermore, the user introduced tests to validate the updated functionality, and made minor adjustments to custom emoji handling and whitespace. These changes show an emphasis on ensuring the application functions correctly with diverse server setups.
rocketchatchat-clientchatrocketswift
jpowie01/CUDA-DNN-MNIST

May 2018 - Jun 2018

Contributions:36 commits, 17 pushes, 1 comment in 1 month
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Jakub Powierza - (Senior) Machine Learning Engineer at Wayve