Tom Zehle
Ph.D. Candidate
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolTom Zehle is a Ph.D. candidate and applied ML practitioner with nine years of experience building production-ready AI systems for aerospace and research settings. He has driven similarity search, information retrieval, and automated fine-tuning pipelines at Airbus and now researches automated optimization of agentic workflows and prompt tuning at the ELLIS Institute. Tom combines strong academic training in statistics and data science (LMU Munich) with hands-on systems engineering from a dual-study program that produced high-impact projects—ranging from self-supervised depth estimation for ExoMars to Transformer-tabular hybrids and RL agents inspired by AlphaZero. He co-authored research on cost-aware prompt optimization and has a track record of turning prototype models into scalable backend services for mission-critical applications. Known for blending creative algorithm design with rigorous evaluation frameworks, he focuses on practical innovations that directly improve operational workflows.
9 years of coding experience
2 years of employment as a software developer
Bachelor, Business Information Systems, 1,4, Bachelor, Business Information Systems, 1,4 at Baden-Wuerttemberg Cooperative State University (DHBW)Master, Statistics and Data Science, Master, Statistics and Data Science at LMU MunichAbitur, Technical Gymnasium - Specialisation in Engineering and Management, 1.4 (A-), Abitur, Technical Gymnasium - Specialisation in Engineering and Management, 1.4 (A-) at Heinrich-Schickhardt-Schule Freudenstadt
Github Skills (49)
to-do10
discord-bot10
chatgpt9
nextjs9
python9
machine-learning9
rlhf9
ai9
chat9
chatbot9
language-model8
prompt-tuning8
sentence7
prompt7
roberta6
Programming languages (5)
Github contributions (5)
finitearth/promptolution
Sep 2024 - Mar 2025
A framework for prompt optimization and a zoo of prompt optimization algorithms
Contributions:33 reviews, 33 PRs, 105 pushes in 5 months
llmpromptprompt-engineeringprompt-tuning
finitearth/Open-Assistant
Jan 2023 - May 2023
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Contributions:9 pushes in 3 months
partyassistantchatto-dointeract
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