Neural Solver Synthesis
GRPO training, fixed-code evaluation, models, datasets, and experiment traces for reusable optimization programs.
Repository ↗Soheyl Massoudi
Postdoctoral Researcher · Artificial Intelligence in Engineering Design · ETH Zurich
Mechanical engineer developing AI methods for executable engineering models, optimization code, and design tools.
Research on requirements-to-model workflows, tool-using AI agents, simulation and optimization, benchmarked agent evaluation, and reusable solver generation.
Developed surrogate-assisted methods for multidisciplinary and robust optimization of gas-bearing turbocompressors, together with automated simulation and parametric CAD tools.
Airframe design and aerodynamic analysis for a vertical-take-off-and-landing aircraft.
Developed EPFL Physics I learning material, coordinated tutoring activities, and taught International Baccalaureate mathematics and physics.
Co-chair of the hands-on workshop on benchmarking AI in engineering design.
Two competitive GPU-hour allocations on the CSCS Alps supercomputer for LLM fine-tuning and reinforcement-learning experiments.
Laboratory for Applied Mechanical Design.
Minor in Energy.
GRPO training, fixed-code evaluation, models, datasets, and experiment traces for reusable optimization programs.
Repository ↗Multi-agent implementations, evaluation scripts, saved design graphs, and experimental traces for conceptual systems engineering.
Repository ↗ · Journal article ↗Interactive learned simulation connected to automated system-level CAD generation.
Journal article ↗Open Python/CadQuery pipeline for parametric turbocompressor assemblies.
Repository ↗Surrogate-assisted optimization across coupled compressor, rotor, and bearing subsystems.
Journal article ↗Journal of Mechanical Design
ETH Zurich: Supervised two Master's semester projects and eleven BSc theses; co-supervised the nine-student AISCO Focus Project team on AI for solar-car optimization.
EPFL: Supervised nine Master's semester projects; teaching assistant for Applied Mechanical Design and Thermal Power Cycles and Heat Pumps.
Multi-objective optimization, reinforcement learning for code, LLM fine-tuning and evaluation, distributed training, HPC experiment management, ensemble neural networks, surrogate modeling, systems design, Python, MATLAB, CadQuery, LangGraph, and scientific computing.