Alex Bird
Machine Learning Engineer at Meta
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAlex Bird is a Machine Learning Engineer with 11 years’ experience building production ML products and data infrastructure, currently at Meta after leading ML at Quine. He combines rigorous research (PhD from the Alan Turing Institute) with product-focused engineering, shipping systems such as a GitHub data warehouse, developer-matching models, and a software taxonomy used to quantify developer reputation. His academic work on multi-task dynamical systems and personalised sequential models underpins practical solutions for time series and user-specific prediction without explicit covariates. Comfortable across the stack, he has applied probabilistic modeling to retail forecasting, drug response, and developer ecosystems, and has taught data science in bootcamps. Based in Stony Stratford, he favors ML that “feels magical” and iterates through intuition, experiment and careful inference to find those moments. A less obvious strength is his track record of turning complex research ideas into deployable pipelines that serve both startups and large organisations.
11 years of coding experience
Bachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at University of NottinghamUniversity College London
Stackoverflow
111reputation
2kreached
0answers
1question
Github Skills (55)
hyperparameter-tuning8
keras8
flux8
machine-learning8
data-science7
reinforcement-learning7
api7
deep-learning7
science7
julia7
cli6
collaboration6
data-versioning6
tensorflow6
visualizer6
Programming languages (7)
Github contributions (5)
ornithos/SeqAdaptiveIS
Mar 2020 - Nov 2021
Contributions:14 commits, 10 pushes, 1 branch in 1 year 8 months
ornithos/MTDS.jl
Mar 2020 - Nov 2021
Contributions:20 commits, 12 pushes, 1 branch in 1 year 8 months
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