I am a Senior Machine Learning Engineer at Inven, where I build reliable, production-scale LLM systems. My work focuses on grounding language models in private, multimodal data, building scalable data pipelines for AI systems, and applying probabilistic machine learning for well-calibrated forecasting and estimation.

I completed my Ph.D. at Aalto University, Finland, under the supervision of Prof. Arno Solin. My experience spans both industry and academia through research roles at Microsoft Research, Adobe Research, and the University of Oxford, with publications at ICML (Oral), NeurIPS, AISTATS, and TMLR.

I am particularly interested in the intersection of probabilistic modeling and agentic systems, with the goal of developing principled, uncertainty-aware agent frameworks grounded in Bayesian principles for evaluation, failure detection and recovery, and decision-making under uncertainty.