Thomas Wölkhart

ML & AI Engineer / Software Engineer

About Me

Who I Am

M.Sc. graduate in Sport and Exercise Science, now working full-time as an ML & AI Engineer at SAP. I build end-to-end systems — from ML models and data pipelines to full-stack apps and production deployments. When I'm not shipping code, you'll find me reading research papers or hiking in the mountains.

What I Do

Python PyTorch SAP HANA SQL AWS Azure Docker Deep Learning Computer Vision NLP
0 Years Experience
0 Live Projects in companies
0 Team Members Led

Professional Experience

ML & AI Engineer — SAP

  • Converted from working student to full-time after completing M.Sc. studies.
  • End-to-end ownership: ML model development, full-stack tooling, and production deployments for League of Legends esports analytics.

ML & AI Engineer (Working Student) — SAP

  • Returned after HMS research stay; continued building and deploying ML systems for the Team Liquid partnership.

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

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

ML & AI Engineer (Working Student) — SAP

  • Converted from internship mid-January; built, deployed, and operated ML pipelines in HANA Cloud for League of Legends analytics.
  • Automated Team Fight Detection, saving >1000 hours/year.

ML & AI Engineer (Intern) — SAP

  • Joined the esports analytics team; converted to working student role mid-January.

AI Engineer (Working Student) — Mercedes-Benz AG

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

AI Engineer (Research Assistant) — TUM School of Management

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

Generative AI (Working Student) — appliedAI

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

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

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

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

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

Education

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

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

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

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

Selected Projects & Awards

Master’s Thesis — Towards Continuous ADL Detection from Non-Intrusive Load Monitoring: Scalable Machine Learning Approaches for Health-Tech Applications

  • 1D-CNNs for device-level activity recognition from high-frequency time-series power data.
  • Synthetic data pipelines and a Bayesian hierarchical model for scalable, continuous ADL detection.

1st Place — TUM Football Analytics Hackathon

  • Derived a fatigue score from 3D skeletal tracking data.

1st Place — MBZUAI Hackathon (Abu Dhabi)

  • Realtime voice-driven website editor [post].

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.

2nd Place — BKW Engineering Hackathon

  • Platform for room classification and adaptive cost computation.

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

  • Conversational Sales Bot prototype [devpost].

1st Place — TUM & Microsoft LLM Hackathon

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

Deutschlandstipendium — Scholarship

Contact

I'm always interested in hearing about new opportunities and collaborations.