A career across research, product engineering, and team leadership — building physics, numerical simulation, optimization, and AI for technical systems.
Remote, US. Software engineering at the intersection of AI, physical simulation, and monitoring for technical systems.
IC · AI Tooling
Started as an individual contributor on audio AI for embedded consumer devices — speech enhancement, beamforming, and sound event detection; three projects reached commercialization. Over time the role grew into management and multimodal AI (text and image, spatio-temporal video grounding), leading teams of 10–15 people.
IC → Commercialization · Manager
Anomaly prediction and predictive maintenance for diesel locomotive engines; classical machine learning in R.
IC · Applied ML
Center for Energy Informatics. Numerical building and HVAC models in Modelica/FMU; model predictive control; FMU-based parameter estimation. Open-source tools: modest-py, mshoot, and modestga.
Research stay at Lawrence Berkeley National Laboratory, 2017 — working on modeling and parameter estimation for MPC.
Researcher
PhD in building physics: CFD (OpenFOAM with custom C++) for indoor airflow and thermal comfort. Building energy and hygrothermal assessments; taught building physics, general construction, and building materials.
Researcher
Open-source and hobby projects I have built over the years — see projects/.