Sam Rahnemayan

An EPFL-trained robotics engineer dedicated to building autonomous and medical systems that translate mathematical models into measurable, real-world technology. By combining advanced control, sensing, and embedded integration with a strategic background in Management, Technology & Entrepreneurship, I bridge complex engineering development with practical, data-driven product decisions.

Focus Areas

  • Medical Robotics & Rehabilitation
  • Autonomous Systems & Control
  • Simulation, Sensing & Embedded Systems
  • Human-Centered Technology
  • Technology & Product Strategy
  • Research-to-Real-World Validation
Portrait of Sam Rahnemayan, EPFL Robotics Engineer

Academic Endorsement

... This places him in the top 20% of master students [...].
Prof. Auke Jan Ijspeert, EPFL

Skills

Robotics & Control

Controller (MPC, PID) Computer Vision Kalman Filters Trajectory Planning (Dijkstra, A*) State Estimation Sensor Fusion Optimization & Control Solvers (CasADi, Gurobi, YALMIP)

Programming & Tools

Python C C++ C# Matlab RStudio Git Machine Learning

Simulation & Modeling

Unity Webots MuJoCo OpenSim SCONE

Mechanical Engineering

CAD (Fusion, Onshape, SolidWorks, Catia) Mechanical prototyping (3D printing, laser cutting, conventional machining)

Electrical Engineering

Sensors & actuators integration STM32CubeIDE ESP32 PCB design (KiCad)

Systems & Software Architecture

Cloud Infrastructure (Terraform) DevOps & Automation Mobile App Engineering (Kivy) UI/UX Prototyping (Figma) Relational Databases (SQLite) TypeScript / React

Recommendations

Recommendations from Research and Industry