| TIM LUKA HORSTMANN | |
| Email: lukahorstmann@gmx.de | |
| Website: horstmann.tech | LinkedIn: luka512 | GitHub: TimLukaHorstmann | |
| Birthday: 05.12.2000 | |
| ════════════════════════════════════════════════════════════════════ | |
| PROFESSIONAL SUMMARY | |
| Impact-driven computer scientist with a strong foundation in AI, particularly ML and NLP. Holds an MPhil in Advanced Computer Science with Distinction from the University of Cambridge and an MSc in Data & AI with Highest Honors — Mention Très Bien from Institut Polytechnique de Paris. Combines rigorous research with applied experience at Hi! PARIS, McKinsey, Amazon and Continental, applying cutting-edge AI to real-world challenges in industry and research. | |
| ════════════════════════════════════════════════════════════════════ | |
| EDUCATION | |
| MSc Data & Artificial Intelligence — Institut Polytechnique de Paris (École Polytechnique & Télécom Paris) | |
| Palaiseau, France | Sep 2024 – Sep 2025 | |
| • Grade 4.0 / 4.0 (Highest Distinction — Mention Très Bien) | |
| • Ranked #1 in core AI courses, incl. #1/196 in “Machine & Deep Learning” (19.9 / 20) | |
| • Courses: Deep & Reinforcement Learning, NLP, Logic & Symbolic AI, Data Mining, AI Ethics | |
| MPhil Advanced Computer Science — University of Cambridge | |
| Cambridge, UK | Oct 2023 – Jun 2024 | |
| • Distinction (86 %); 3rd of 61; college prize winner | |
| • Courses: NLP, Multicore Semantics & Programming, Cyber-crime, Mobile Health (all with Distinction) | |
| • Senior rower (stroke & seat 6), won “super blades” at May Bumps | |
| BSc Business Informatics — RheinMain University of Applied Sciences | |
| Wiesbaden, Germany | Sep 2019 – Sep 2022 | |
| • GPA 1.0 / 1.0 (top of year); completed 210 ECTS in 6 semesters | |
| • First and only student to attain perfect GPA; member of audit committee for CS courses | |
| Allgemeine Hochschulreife — Städtisches Gymnasium Erwitte | |
| Erwitte, Germany | Aug 2011 – Aug 2019 | |
| • GPA 0.9 (surpassed best possible 1.0) | |
| • Selected for North-Rhine Westphalia Academy for Mathematics & Computer Science | |
| ════════════════════════════════════════════════════════════════════ | |
| WORK EXPERIENCE | |
| Research Assistant (Machine Learning & NLP) — University of Cambridge | |
| Cambridge, UK | Dec 2025 – Mar 2026 | |
| • Developing and applying novel NLP/ML models to collect, analyze, and explain financial regulations | |
| Machine Learning Research Engineer Intern (received full-time return offer) — Hi! PARIS Research Center & École Polytechnique | |
| Paris, France | Apr 2025 – Aug 2025 | |
| • Text-to-Speech and NLP research on generating natural-sounding French speech (supervisor: Prof. Eric Moulines) | |
| • Led “Europeanization” of CosyVoice2, building a SOTA zero-shot TTS model for FR/DE (first-author, ICASSP 2026) | |
| • Built a multi-agent research assistant for IP Paris (LangGraph), incl. local RAG and Gemini web research | |
| Fellow Intern (full-time return offer) — McKinsey & Company | |
| Munich, Germany | May 2023 – Jul 2023 | |
| • Advised a leading European automotive supplier on a multiyear sustainable transformation program | |
| • Produced financial analyses and risk assessments presented to CEO, CFO & supervisory board | |
| Business Intelligence Intern (full-time return offer) — Amazon | |
| London, UK | Oct 2022 – Apr 2023 | |
| • Led inbound logistics project for Amazon’s PanEu surface network (≈ $38 M annual impact) | |
| • Resolved transportation disruptions via QuickSight dashboard atop Redshift ETL from multiple data sources | |
| Dual Student (Software Engineer & Data Scientist) — Continental AG | |
| Frankfurt, Germany | Sep 2019 – Sep 2022 | |
| • Automated IoT device configuration with Ansible across 55 plants (≈ €450 k savings / yr) | |
| • Integrated Mendix low-code platform incl. SSO (Keycloak) & REST services | |
| ════════════════════════════════════════════════════════════════════ | |
| TECHNICAL SKILLS | |
| Programming Python (adv.), Java (adv.), SQL (adv.), JavaScript, HTML, CSS, VBA, Cypher, SPARQL, Ansible | |
| Data Science/ML PyTorch, Transformers, scikit-learn, pandas, NumPy, Matplotlib, Ollama, llama.cpp, Qwen-Agent | |
| Tools/Platforms Git, Weights & Biases, HPC (SLURM), Docker, FastAPI, AWS, Redshift, QuickSight | |
| ════════════════════════════════════════════════════════════════════ | |
| SELECTED PROJECTS & PUBLICATIONS | |
| T-REX: Table-Refute-or-Entail eXplainer — Institut Polytechnique de Paris | 2025 | |
| Accepted at ECML PKDD 2025 (Demo Track) — https://t-rex.r2.enst.fr/ | |
| • First live fact-checker for tabular claims using instruction-tuned reasoning LLMs | |
| • Streams reasoning steps & highlights cells; multilingual I/O; OCR via VLMs/Tesseract | |
| • 89 % accuracy on TabFact (competitive with SOTA) | |
| • Stack: Python, FastAPI/SlowAPI, Ollama, OCR, HTML/CSS/JS | |
| Improving French Synthetic Speech Quality via SSML Prosody Control — Hi! PARIS | 2025 | |
| Accepted at ICNLSP 2025 — https://horstmann.tech/ssml-prosody-control/ | |
| • First end-to-end French SSML prosody-control pipeline; two cascaded QLoRA-tuned Qwen-2.5-7B for breaks + values | |
| • Tested on novel 14h corpus: 99.2% F1 (breaks); 25–40% lower MAE on pitch/rate/volume; MOS 3.20→3.87 (15/18 prefer) | |
| • Tech: Python, Qwen-2.5-7B (QLoRA), Whisper Timestamped, Auditok, Demucs, Azure TTS | |
| J.A.R.V.I.S.: Local Voice-Enabled AI Assistant — Independent Project | 2025 | |
| • Fully local ASR → LLM → TTS voice assistant, CPU-only via quantized models | |
| • Dockerized; live on Hugging Face Spaces; > 9,000 npm downloads of custom MCP Weather Server | |
| • Tech: Python, FastAPI, Whisper, llama.cpp, Qwen-Agent, Kokoro TTS, MCP, Docker | |
| Discovery & Ontology Matching of Financial Regulatory Information — University of Cambridge | 2023–24 | |
| • Built FRIDAY, first end-to-end NLP system for discovering/classifying FRI in legal docs | |
| • Distinction (87%); strong cross-domain generalization; ↑ 37 % ROUGE vs baselines | |
| • Tech: Python, RoBERTa, BiLSTM, Tesseract OCR, PyMuPDF, sequence tagging | |
| Disaggregation Algorithm for Customer Demand Planning Using ML — Continental AG | 2022 | |
| Bachelor thesis (grade 1.0) | |
| • XGBoost-based forecasting to disaggregate demand; ↑ R² up to 37 % vs SAP baseline | |
| • Trained on 10 M+ records; deployed in official forecasting pipeline (Q4 2022) | |
| ════════════════════════════════════════════════════════════════════ | |
| AWARDS & SCHOLARSHIPS | |
| 2025 Winner, {Tech: Europe} Hackathon (1st/27 teams) — AI voice coach (product launching) | |
| 2024 Alumni Association Prize for Graduate Excellence — University of Cambridge | |
| QuantCo Scholar — German-American Conference at Harvard University | |
| France Excellence Europa Scholarship — French Government | |
| IP Paris Excellence Scholarship — tuition exemption, annual allowance, fully-funded PhD offer | |
| 2022 ContiBestenEhrung — Top 25 of 1500+ dual students nationwide; Academic Excellence Bonus (€270) | |
| 2021 Studienstiftung des deutschen Volkes — < 0.3 % of students; funded BSc, MPhil & MSc | |
| 2019 Deutschlandstipendium; e-fellows.net Scholarship; DMV Prize; Best Graduate in NRW | |
| ════════════════════════════════════════════════════════════════════ | |
| LANGUAGES & EXTRACURRICULARS | |
| Languages German (native), English (fluent, TOEFL 109), French (intermediate; DELF A1–B1, DFP B2) | |
| Societies German Informatics Society, VDI, Cambridge Union & Cambridge German Society | |
| Mentoring McKinsey College/Firsthand, BCG LINK/Emerald, Bain Spark | |
| Volunteering First saxophonist – symphonic wind orchestra; founding board member, Junge Union Erwitte | |
| Interests Artificial Intelligence, Space Travel, Piano, Rowing, Jogging, Table Tennis, Tennis, Hiking, Skiing, Travelling | |
| ════════════════════════════════════════════════════════════════════ | |
| Weitere Informationen: | |
| - Während meiner Zeit in meiner Heimatstadt Erwitte habe ich über verschiedene Zeiträume hinweg Fußball, Tennis, Tischtennis, und Baseball im Verein gespielt. Ich war sogar Tischtennis-Trainer und habe damit Geld verdient. | |
| - Ich habe auch eine längere Zeit während meiner Schulzeit Nachhilfe gegeben (in verschiedenen Fächern, aber insbesondere in Mathe). | |
| ════════════════════════════════════════════════════════════════════ | |
| Last updated: November 2025 |