Sam Sweere
Senior Machine Learning Research Engineer at Scale AI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSam Sweere is a Senior Machine Learning Research Engineer based in London with eight years of experience building and productionizing AI systems across industry and space science. He blends research-grade expertise—publishing first-author work on deep-learning super-resolution for X-ray telescopes at ESA—with hands-on engineering at Scale AI and multiple consultancy roles delivering LLM products, computer-vision pipelines, and fleet resale-price models. Sam has a strong track record in applied ML for high-stakes domains (human-rights image verification, space data denoising) and routinely moves models from prototype to cloud-native production. Comfortable across research, product, and ops, he pairs a Master’s in AI with a background in computing science and theoretical physics, which informs both rigorous experimentation and practical system design. An interesting thread through his career is using academic techniques to solve operational problems—e.g., adapting astronomy denoising methods for real-world image deduplication and moderation workflows.
8 years of coding experience
4 years of employment as a software developer
Master Artificial Intelligence, Master Artificial Intelligence at Maastricht UniversityBachelor's degree Computing Science, Bachelor's degree Computing Science at Radboud UniversityMinor Computer Science, Minor Computer Science at City University of Hong Kong
Github Skills (31)
super-resolution9
python8
deep-learning8
gpu8
machine-learning8
simulation7
datasets7
computer-vision7
data-visualization6
embedding6
data-analysis6
neural-network6
tensorflow6
pytorch6
ui-components6
Programming languages (3)
Github contributions (5)
SamSweere/xmm-superres-denoise
Mar 2022 - Dec 2022
Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images.
Contributions:8 reviews, 17 commits, 13 PRs in 8 months
de-noisingdeep-learningpytorchsuper-resolutionxmm-newton
SamSweere/tts-audiobook-creator
Mar 2024 - Sep 2024
Convert books to audiobooks using AI based text to speech (TTS).
Contributions:4 PRs, 18 pushes, 4 branches in 5 months
aiaudiobookepubtts
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