Curriculum Vitae

Experience

AI Engineer (Freelance / TUM Social AI Club)

Entreculturas NGO — Munich, Germany (Mar 2026-Present)

Architected and deployed an event-driven n8n workflow using the Google Drive API to automate audit verification. Integrated LLM pipelines to audit text against Spanish project-specific grant compliance requirements.

Working Student Data Scientist / Data Engineer

Munich Data Science Institute (MDSI) — Munich, Germany (Oct 2024-Present)

Designed LangChain RAG-LLM matching pipelines over OpenAlex publications. Managed local inference infrastructure using Ollama (Llama 3, Mixtral) on NVIDIA H100 GPU nodes. Migrated communication database from MySQL to PostgreSQL using pgloader under zero-downtime constraints.

Data Scientist / Machine Learning Engineer

TUM & Klinikum rechts der Isar — Munich, Germany (Mar 2023-Jun 2025)

Main developer for ICASSP 2025 challenge ensemble models combining EEG and Spotify features. Explored diffusion models for Spotify audio visualization and conducted a 50+ user study. Developed PyTorch pathology image artifact detection reaching 94% validation accuracy using OpenSlide.

Teaching Aide — Algorithms & Complexity

KTH Royal Institute of Technology — Stockholm, Sweden (Aug 2022-Dec 2022)

Provided tutoring and debugging mentorship to 200+ students across Java, Python, MATLAB, Haskell, and Prolog.

Intern Software Engineer

Atlas Copco — Stockholm, Sweden (Jun 2022-Oct 2022)

Ported legacy single-threaded TCP/IP communication modules from VB6 to modern C#/C++, resolving thread timeouts under heavy network load using asynchronous patterns.

Intern Data Engineer

Bonava — Stockholm, Sweden (Apr 2019-Aug 2019)

Automated financial reporting extraction using Bash and PowerShell scripts, designing underlying SQL modeling to support PowerBI metrics for 200+ employees.

Data Engineer

PostNord — Stockholm, Sweden (Jun 2018-Aug 2018)

Developed address normalization and scrubbing pipelines for logistics OCR address recognition systems.

Software Engineer

ABB — Sweden (Jan 2016-Jul 2016)

Worked in a Scrum team rewriting softstarter motor modeling tools utilizing MATLAB, C#, and VBA.

Education

M.Sc. Data Engineering and Analytics

TUM Technical University of Munich — Oct 2022-Mar 2026 (GPA: 2.1)

Focused on Machine Learning, Big Data pipelines, GenAI RAG tools, and Multi-modal architectures.

B.Sc. Computer Science

KTH Royal Institute of Technology — Sep 2018-Jun 2022 (GPA: 4.2)

Focused on Systems programming, Algorithms & Complexity, Logic, and Quantum Computing simulations.

Awards

ICASSP 2025 EEG-Music Challenge (2nd Place)

IEEE Signal Processing Society — 2025

Ranked 2nd out of 50 international submissions. Built an ensemble model processing a 20GB dataset of EEG signals and Spotify metadata (published in IEEE proceedings).