Thomas Kaltenbrunner is a Lead Data Scientist and ML researcher with 10 years' experience turning research into production-ready features for fintech and product teams. He designs end-to-end ML pipelines—from roadmap and dataset creation to model research, team coordination, and stakeholder delivery—currently building scalable data extraction for institutional credit investors. His background spans NLP and deep learning for chatbots, GAN-based image enhancement for social content, and Bayesian ad optimisation, reflecting a blend of academic rigour (PhD-level mathematical physics training) and practical product focus. Known for translating business needs into measurable ML features, he thrives on taking ideas from prototype to valuable, deployed product.
10 years of coding experience
5 years of employment as a software developer
Magister, Physics, Magister, Physics at Universität Wien
Physics, Physics at Universidad de Santiago de Chile
Doctor of Philosophy - PhD, Mathematical Physics, Doctor of Philosophy - PhD, Mathematical Physics at Maynooth University
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.
Request Free Trial
Thomas Kaltenbrunner - Lead Data Scientist ML Researcher