Steven Beth

AI Training Engineer at Surge AI

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Steven Beth is an AI Training Engineer based in London with over three years focused on building coding agents, benchmark harnesses, and RL web environments, alongside a long career in fintech and trading technology. He combines deep systems experience from roles at Morgan Stanley and First Derivative—where he led teams and built high-throughput Java/Python pipelines for trading and reporting—with hands-on startup experience as a co-founder who integrated NLP into market-data platforms. At Surge AI he designs data pipelines and projects to capture specialized fine-tuning data, translating practitioner workflows into production-ready ML datasets. An active open-source contributor, he has improved reliability and security in the widely used home-assistant/core project through Ring integration fixes and re-authentication refactors. Comfortable spanning architecture to implementation, he brings a pragmatic blend of regulated-finance rigor and experimental ML engineering to complex data and inference problems.
code2 years of coding experience
job3 years of employment as a software developer
bookBSc (Joint Honours) Computer Science with Maths (Ind), BSc (Joint Honours) Computer Science with Maths (Ind) at University of Leeds
bookGCSE's, GCSE's at Haberdashers' Aske's School For Boys
bookA Levels Mathematics Computing and Physics, A Levels Mathematics Computing and Physics at Mander Portman Woodward Limited (MPW)
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Github Skills (11)

asynchronous10
testing10
apim10
error-handling10
api10
pytest10
python10
async10
asyncio10
home-automation9
iot9

Programming languages (7)

TypeScriptShellJavaScriptHTMLNixRubyPython

Github contributions (5)

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home-assistant/core

Jul 2023 - Feb 2025

:house_with_garden: Open source home automation that puts local control and privacy first.
Role in this project:
userBack-end Developer & Automation Engineer
Contributions:546 reviews, 171 PRs, 1141 comments in 1 year 7 months
Contributions summary:Steven's primary contributions involve enhancing the functionality and reliability of the `home-assistant/core` repository, focusing on the integration with the Ring door bell service. Their work includes handling new exceptions within the ring_doorbell library, improving test coverage, and addressing authentication failures within the Ring API. The user also refactored the re-authentication flow, which involves fixing threading issues on device updates and addressing security vulnerabilities. In addition, they focused on integrating with camera API features.
raspberry-pipythonhouseprivacy-firstasyncio
sdb9696/python-ring-doorbell

Jul 2023 - Sep 2024

Python Ring Door Bell is a library written in Python 3 that exposes the Ring.com devices as Python objects.
Contributions:3 releases, 14 PRs, 103 pushes in 1 year 1 month
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Steven Beth - AI Training Engineer at Surge AI