Thomas Starzynski
Software Engineer at Google
Basel, Basel-City, Switzerland
Summary
👤
Senior🎓
Top SchoolThomas Starzynski is a software engineer with 13 years of experience building backend systems, founder-led products, and research-grade tooling from Basel, Switzerland. He currently works at Google on C++, protobuf and LLM-powered systems, and previously co-founded Liist where he designed databases, backend APIs and social media scraping pipelines powering a travel/social mapping app. His projects span web3, AI and consumer tooling—examples include a Radix DEX, NFT floor-price alerts, an AI-affirmations app, and Shillcoin for validating crypto picks—demonstrating a knack for shipping production services across diverse stacks. Earlier roles include maintaining a 20k-record philanthropic foundations database and contributing to the Fast Downward classical planning system by refactoring heuristics and modernizing C++ code. Thomas combines academic rigor (MA in Economics) with practical full‑stack training (Le Wagon), making him comfortable bridging research, product and infrastructure. An understated strength is his ability to move from scraping and data engineering to low-level C++ improvements, showing both breadth and attention to code quality.
13 years of coding experience
6 years of employment as a software developer
Fullstack Webdeveloper, Fullstack Webdeveloper at Le WagonMaster of Arts - MA, Economics, 5.0, Master of Arts - MA, Economics, 5.0 at Universität Basel
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
algorithm10
data-structures10
algorithms10
c-language10
planning10
cprogramming-language10
data-structure10
Programming languages (3)
Github contributions (5)
aibasel/downward
Oct 2015 - Sep 2022
The Fast Downward domain-independent classical planning system
Role in this project:
Back-end Developer
Back-end DeveloperContributions:48 reviews, 75 commits, 15 PRs in 6 years 11 months
Contributions summary:Thomas primarily focused on implementing and refactoring core components of the Fast Downward planning system. Their work involved adapting the task interface within existing heuristics, specifically the goal count and h^max heuristics. The user also adapted code to adhere to coding conventions and conducted code reviews, indicating a focus on code quality and maintainability. Additionally, they contributed to the system by replacing loops in max_heuristic with C++11 versions.
classical-planningindependentdomainfast-downwardplanning
thomaskeller79/downward
Jan 2021 - Sep 2022
The Fast Downward domain-independent classical planning system
Contributions:59 pushes, 15 branches, 15 tags in 1 year 7 months
classical-planningindependentdomainfast-downwardplanning
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.