Thomas Wölkhart

Data Scientist — SAP

Walldorf / Munich · Esports (Team Liquid)

• Continuing in the same role with a focus on analytics and model optimization.

Visiting Graduate Student — HMS / Brigham & Women’s Hospital

Boston, MA · Surgical Planning Lab (Radiology)

• Research on quantitative analysis of Digital Subtraction Angiography (GAE).
• Tooling: Python, PyTorch, nnU-Net, OpenCV, scikit-image, NIfTI.

Data Scientist — SAP

Walldorf / Munich · Esports (Team Liquid)

• Built and deployed models in HANA Cloud for League of Legends analytics.
• Automated Team Fight Detection, saving >1000 hours/year.

Data Scientist (Working Student) — Mercedes-Benz AG

Munich · Data & AI (PoCs)

• Time-series models for sales forecasting & scenario simulation.
• RAG prototype to automate market research workflows.

Data Engineer (Research Assistant) — TUM School of Management

Munich · pAIge (LLM Student Support)

• Backend for pAIge Chatbot; reduced student-support workload.
• RAG pipelines on Azure with vector search and feedback loop.

Generative AI (Working Student) — appliedAI

Munich · GenAI Prototyping

• Prototyped and deployed GenAI apps (RAG, Voice-AI) for internal & client use.

Member · Team Lead · Advisor — TUM.ai Student Initiative

Munich · Student Initiative (Operations & Projects)

• Led >10 members; managed six-digit budget and industry AI projects (Infineon, UniCredit, ProSiebenSat.1).

Business Development & Data Automation (Intern) — LOEWI (acq. by bioniq)

Munich · Growth & Data Automation

• Python automation for B2B lead generation; micronutrient bioavailability database.

M.Sc. Sport & Exercise Science — Technical University of Munich (TUM)

Grade: 1.1 · Sport Informatics, Neuromechanics & Physiology

Visiting Graduate Student — Harvard Medical School / Brigham & Women’s Hospital

Surgical Planning Lab · Medical Imaging / Computer Vision

B.Sc. Sports Science — Technical University of Munich (TUM)

Grade: 1.3 · MuSkLE Summer School (France, 2023)

Secondary School (A-levels) — Bundesrealgymnasium Köflach (AT)

Grade: 1.0 · Focus: IT, Biology, Chemistry, Physics

Master’s Thesis — Non-Intrusive Load Monitoring for ADL Detection (Veli)

• Hierarchical ML for device-level patterns from high-frequency time-series; deployed in Health-Tech context.

Wölkhart et al. — Quantification of Hypervascularity during GAE (manuscript in submission)

• Computer-vision pipeline for DSA; automatic isolation of neovascular blush; standardized intraoperative metric.

TUM × Data Reply — Data Innovation Lab

• Multi-agent system on AWS; evaluated LangGraph, AutoGen, MetaGPT [write-up].

1st Place — Alexandria ML-Agents Hackathon

• Shared-memory architecture across LLM apps; backend + frontend implementation.

3rd Place — TUM.ai Makeathon (Mercedes-Benz & Salesforce)

• Conversational Sales Bot prototype.

1st Place — TUM & Microsoft LLM Hackathon

• RAG chatbot for student support; automated email responses; vector DB ingestion.

Deutschlandstipendium — Scholarship