Solving
complex problems
,
identifying
smart solutions
,
in
open
science
Currently
Building and prototyping AI-driven microservices and agents at Digital Science, from LLM-powered APIs to Rust-based clustering engines.
In the past
Developed core infrastructure at DataCite, including Commons, Fabrica, and Sashimi, while leading metadata and design system initiatives.
Featured work
Digital Science
Query Translation API - Natural Language to Database Queries
Architected and launched a FastAPI microservice that turns natural-language requests into optimized Dimensions searches.
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DataCite
Harmonizing with a Design System
Crafted a Design System for all DataCite frontend services.
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DataCite
Innovating Data Usage Processing Services
Pioneering an alternative to existing data usage processing services through web tracker development.
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DataCite
Usage Reports API - Research Data Metrics at Scale
Designed and delivered Sashimi—a Rails API that ingests, validates, and stores large SUSHI usage reports at 50,000-dataset scale.
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DataCite
Redesigning DataCite's Harvesting Services
Redesigned DataCite's Harvesting Services from the ground up to boost service utilization and unlock new revenue opportunities.
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Useful things I've built
Dataset Discovery Agent
An AI agent automating discovery, evaluation, and acquisition of open research datasets for scientists and data engineers.
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Parrot GPT
A Python toolkit that uses GPT-3/3.5 to translate, enrich, and cross-walk bibliographic metadata across schemas, with CLI and CI/CD support.
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Election Program AI Analyser
An AI-powered tool that simplifies 2025 Bundestag election programs, giving clear answers to voters’ policy questions in natural language.
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CrossFit WOD Viewer
A web app that scrapes CrossFit workout-of-the-day data and uses AI to provide explanations, scaling options, and beginner-friendly modifications.
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