Krzysztof Arendt

AI tooling for engineers and technical systems.

I work at the intersection of AI, simulation, and software engineering for technical systems. My focus is building AI that has to meet engineering reality: physical models, sensor data, constrained devices, simulation tools, and the workflows engineers actually use.

The background runs the full modeling spectrum — from high-fidelity numerical simulation and reduced-order physical models to production machine learning. Some of that work is public: peer-reviewed publications on AI, simulation, and modeling, US patents, and open-source projects in simulation and optimization.

Across these roles I've worked as a hands-on engineer and as a technical leader, leading AI and engineering teams while staying close to research, system design, and implementation. The full path — from CFD and building physics research to embedded audio AI — is on the work page.

Areas of focus

• AI tooling for engineering workflows — applied AI, LLMs and agents, and automation around model validation and engineering work.
• Applied ML from research to product — taking machine learning from research into industrial and consumer products.
• Modeling and simulation of technical systems — physics-based modeling, CFD/FEM, Modelica/FMU, EnergyPlus, and white-/gray-/black-box approaches.

Right now I'm at PassiveLogic, working at the intersection of AI, simulation, and sensor-data monitoring and analysis.

Links

• LinkedIn
• GitHub
• Google Scholar
• ORCID