AI Trip Planning at Go Globie
Founding engineer on a consumer travel product, building the AI core end-to-end: LLM itinerary generation, a conversational planning agent, and evaluation, observability, and provider failover in production.
AI Engineer · Copenhagen
I’m an AI engineer based in Copenhagen. I’ve spent 15+ years in the software industry, working across data, machine learning, and more recently GenAI systems in both enterprise and startup environments.
I work primarily with generative AI systems, and I’m especially interested in how probabilistic thinking and structured knowledge (such as knowledge graphs) can improve their reliability and reasoning. Lately that has meant building retrieval systems, evaluation pipelines, and observability tooling for LLM products.
Founding engineer on a consumer travel product, building the AI core end-to-end: LLM itinerary generation, a conversational planning agent, and evaluation, observability, and provider failover in production.
Built core capabilities of an enterprise LLM governance platform: a multi-tenant API gateway, guardrails, automated red-teaming, and evaluation and observability tooling.
Personal project: snap a receipt photo, an OCR/LLM pipeline extracts items and prices, and my family and I track our grocery price history.
Markov Chain Monte Carlo samplers with practical diagnostics and developer-friendly APIs.
Embedding-space alignment for matching heterogeneous knowledge graphs (ESWC 2022, best-poster nomination).