Thársis Souza is a computer scientist and product leader with a decade of experience building AI-driven products across Wall Street hedge funds and Silicon Valley startups. He combines deep technical credentials—a Ph.D. in Computer Science from UCL and earlier graduate degrees—with hands-on product management and teaching experience as a former Columbia lecturer. Co-creator of podcastfy.ai and co-author of O’Reilly’s LLMs - The Hard Parts, he focuses on practical, open-source solutions to real-world AI pitfalls. Based in Japan, he frames data and models as narrative tools, reflected in his GitHub tagline “building data-driven stories.” His background in persuasion from Columbia Business School complements a research-first approach to productizing AI, making him equally at home translating complex models for executives or iterating prototypes with engineers.
10 years of coding experience
Executive Education, Persuasion, Executive Education, Persuasion at Columbia Business School
B.Sc. Computer Engineering, B.Sc. Computer Engineering at Universidade Estadual de Campinas
pyETT: Python library for Eleven VR Table Tennis data
Contributions:9 releases, 121 commits, 10 PRs in 4 months
python-librarypythontable-tennistennis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.