Antony Phillips
Optimization Software Engineer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAntony Phillips is a software engineer specializing in optimisation and algorithms, with eight years of hands-on experience building production scheduling, routing and dispatch systems across fintech, logistics and retail. He holds a PhD in Operations Research and has led technical teams at startups and scaleups—most recently driving algorithmic work at Assembled after leadership roles at MannyAI and 7bridges. His background spans mixed-integer programming, metaheuristics and machine learning, with proven delivery of end-to-end workforce scheduling and real-time logistics platforms at Monzo and Deliveroo. Comfortable moving between research-grade modelling and production engineering, he combines rigorous experimental methodology with pragmatic engineering to ship robust optimisation systems. Based in San Francisco, Antony brings a rare blend of academic depth and product-focused execution that speeds up decision-making at scale.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at University of Auckland
Github Skills (45)
integer-programming10
pulp10
python10
solver10
linear-models10
facebook-open-graph10
linear-programming10
modeling9
optimization9
deep-reinforcement-learning8
huggingface8
reinforcement-learning8
operations-research8
combinatorial-optimization8
glpk8
Programming languages (6)
Github contributions (5)
aphi/pulp
Mar 2023 - Feb 2025
A python Linear Programming API
Contributions:4 PRs, 21 pushes, 7 branches in 1 year 11 months
aphi/aphi.github.io
Aug 2019 - Nov 2025
Contributions:12 pushes, 1 branch in 6 years 4 months
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