I'm a German-American computer science student at TUM. I have built tools at companies in various stages, with up to 20M+ users, and am generally excited by the challenges that reliability poses. My current interests are all things time-series ML research and infrastructure.
While I've grown to be a big fan of Go, I believe in technology-agnostic engineering. Some of the technologies I've been working with more frequently include:
I also absolutely love speed-house and groove music.
09/2026 — present
Visiting Machine Learning Researcher
Researching the interpretability of multimodal language models for time-series data.
05/2026 — 08/2026
Site Reliability Engineer Intern
Built a Go CLI that simulates and validates multi-stage production rollouts locally and in CI before release.
Simulated week-long rollouts across 80+ services in seconds by grouping concurrent deployment events per stage.
Built mock RPC services for scheduling and configuration, so simulations run with no production dependencies.
05/2025 — 03/2026
Research Collaborator & Co-Author
Built an ETL pipeline over 150,000+ entries covering 40,000+ compounds from the Materials Project.
Cut graph retrieval time by 60x (~30s to <0.5s) by refactoring the data-loading pipeline.
Trained GCNs in PyTorch Geometric on phase-diagram graphs, with UMA and MTEncoder embeddings as node features.
03/2025 — 06/2025
Software Engineering Intern
Owned an AI-summary feature end to end; it had the highest retention and 25,000+ uses in its first week.
Extracted and re-inserted images into streamed AI summaries, with LaTeX rendering for 4+ file formats.
Evaluated the reliability of an AI request gateway handling 10,000+ daily requests with retries and fallbacks.
08/2024 — 12/2024
Software Engineer Intern
Used React, Node.js, MongoDB and GraphQL to enable data aggregation in Earth's largest car simulation center.
Built a full-stack feature to persist 70+ data points on car simulation studies for 100+ researchers.
Automated 100% of issue creation and formatting for car simulation studies using the Jira API.
10/2023 — 10/2024
Software Engineer Team Lead
Led development of a modular Next.js platform to review ~400 applicants across multiple phases.
Helped design the API that stores 1,000+ reviewer notes on candidates.
Set up a Dockerized PostgreSQL database with Prisma, integrated OAuth, and outlined RBAC.
10/2022 — 04/2024
Software Engineer Intern (Part-Time)
Selected for the internal talent pool program for high-performing student employees.
Automated dependency updates in 50+ repositories with Renovate and Docker-in-Docker.
Cut PHPStan errors by 50% and 70% in two internal repositories.
Refactored 15% of the codebase for PHP 8.2 and raised unit test coverage by 40%.
With Stanford, benchmarked how retrieval (RAG), thermodynamic tools, and multi-agent test-time compute improve LLM-based solid-state synthesis prediction. Domain knowledge drove most gains, raising top-10 precursor accuracy from 77% to 83.5%.
Won the Mobility track of a week-long design-thinking challenge with 250+ participants, with a solution for limited parking. Pitched to 300+ people and was offered four-digit funding.