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.
2 years of coding experience
3 years of employment as a software developer
BSc (Joint Honours) Computer Science with Maths (Ind), BSc (Joint Honours) Computer Science with Maths (Ind) at University of Leeds
GCSE's, GCSE's at Haberdashers' Aske's School For Boys
A Levels Mathematics Computing and Physics, A Levels Mathematics Computing and Physics at Mander Portman Woodward Limited (MPW)
:house_with_garden: Open source home automation that puts local control and privacy first.
Role in this project:
Back-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.
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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