Oscar Wyatt
Senior Software Engineer at Iambic Therapeutics
Bristol, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolOscar Wyatt is a Senior Software Engineer and AI research practitioner with seven years' experience building ML-driven products, currently focused on generative molecular design using reinforcement learning and evolutionary algorithms. He has moved research into production across biopharma startups and government, notably extracting eligibility criteria from GOV.UK with a fine-tuned BERT NER and contributing backend features to the prominent alphagov/whitehall repo. His background spans from CTO-level product engineering—designing high-throughput ticketing systems and uncertainty-aware sales models—to creative technical R&D in real-time 3D video and interactive installations. Comfortable at the intersection of research and engineering, he combines deep model work with pragmatic deployment, and brings an unusual theatre lighting and invention heritage that surfaces in his multidisciplinary approach to problem solving.
7 years of coding experience
11 years of employment as a software developer
Bachelor of Arts - BA Theatre Practice: Lighting Design, Bachelor of Arts - BA Theatre Practice: Lighting Design at The Royal Central School of Speech and DramaShrewsbury SchoolMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Queen Mary University of London
Github Skills (8)
data-migration10
dhall10
wsh10
hal10
ruby10
postgresql9
rails8
ruby-rails8
Programming languages (11)
Github contributions (5)
alphagov/whitehall
Sep 2018 - Sep 2020
Publishes government content on GOV.UK
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 1 review, 34 commits in 2 years
Contributions summary:Oscar contributed to the backend functionality of the Whitehall application, focusing on features related to content publishing and indexing. They added functionality to include image URLs in the Rummager index for speeches and implemented data migrations to update content related to roles and specialist sectors. The user also addressed authentication concerns by adding bearer token authentication to Rummager API calls and fixed reordering issues within the organisation's contact sections.
govgovuk-publishing-frontendgovukgovernmentcontainer
alphagov/tagging-suggester
Jul 2019 - Dec 2019
Prototyping work to make a system that can suggest taxons for a new piece of content
Contributions:45 commits, 33 PRs, 53 pushes in 5 months
pieceprototypingsuggest
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