Nabeel Seedat
Lead Research Scientist & Research Lead LLM Post-Training Evals at Thomson Reuters
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNabeel Seedat is a Senior Research Scientist and ML PhD candidate at the University of Cambridge with a decade of applied and research experience building production ML systems across healthcare, multimedia, and computer vision. He has published prolifically (24 papers, 14 first-author) in top AI venues and has moved research into impact—deploying LLM-based tools at AstraZeneca and production subtitle, translation, and speech-to-text systems at MultiChoice that measurably improved productivity and reduced costs. His background blends Bayesian deep learning, uncertainty estimation, and data-centric AI with practical engineering—designing scalable pipelines, feature stores, and monitoring for high-throughput services. He has led interdisciplinary projects from a medical self-diagnosis startup to industrial R&D at Shutterstock and Thomson Reuters, pairing signal-processing and biomedical engineering training with software delivery. Outside work he’s a karate black belt and avid debater, reflecting a taste for disciplined practice and persuasive communication that he brings to collaborative research and product teams.
10 years of coding experience
9 years of employment as a software developer
Masters (MSc) Signal Processing and Machine Learning, Masters (MSc) Signal Processing and Machine Learning at University of the WitwatersrandDoctor of Philosophy - PhD Machine Learning & AI, Doctor of Philosophy - PhD Machine Learning & AI at University of CambridgeSt John's CollegeMaster's degree Machine Learning and Computational Modelling, Master's degree Machine Learning and Computational Modelling at Cornell University
Afrikaans, English
Github Skills (22)
fairness-ml7
data-augmentation7
generative-model7
synthetic-data6
training-data6
heterogeneous5
self-supervised-learning5
uncertainty-quantification5
pytorch4
machine-learning4
privacy4
tabular4
deep-learning3
data-science2
data-quality2
Programming languages (2)
Github contributions (5)
seedatnabeel/seedatnabeel.github.io
Sep 2023 - Nov 2024
Contributions:49 pushes, 1 branch in 1 year 1 month
seedatnabeel/TRIAGE
Oct 2023 - Mar 2024
TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)
Contributions:2 PRs, 7 pushes, 1 branch in 5 months
training-datadata-centric-aidata-centric-machine-learningreliable-aitrustworthy-ai
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