Rahul Savani
Secondee at The Alan Turing Institute
Liverpool, England, United Kingdom
Summary
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Senior🎓
Top SchoolRahul Savani is a Professor of Computer Science and researcher with 14 years’ experience applying algorithms, game theory and agent-based modelling to problems in automated trading and reinforcement learning. Based in Liverpool and currently secondee at The Alan Turing Institute, he blends deep theoretical expertise (PhD in Mathematics, LSE) with hands-on consultancy building and optimizing trading strategies for proprietary firms. His work spans algorithmic complexity, computing equilibria in games and practical deployment of trading algorithms—an unusual mix that lets him move fluently between formal proof and production systems. He has commercial fintech experience from Stratagem/Blockchain.com and Minerva, and a sustained academic track record supervising research and teaching advanced CS topics. Notably, his profile reflects both rigorous theoretical roots and repeated successful translation of that theory into real-world automated trading solutions.
14 years of coding experience
8 years of employment as a software developer
London School of Economics and Political ScienceMerchant Taylors' School, Northwood
Stackoverflow
872reputation
45kreached
2answers
9questions
Github Skills (38)
gambit10
solve10
game-theory10
explore10
theory9
mbt9
monte-carlo-tree-search9
planning9
q-learning8
cpp8
ati8
alan8
python8
bed8
markov-decision-processes8
Programming languages (7)
Github contributions (5)
rahulsavani/pelican_homepage
Apr 2015 - Feb 2025
The source of Rahul Savani's pelican-based homepage
Contributions:1 PR, 291 pushes, 4 branches in 9 years 11 months
pelican
rahulsavani/bimatrix_examples
Oct 2015 - Mar 2021
Contributions:7 pushes, 1 branch in 5 years 5 months
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