Hi, I’m

Matthew

Toronto → Paris

Originally from Toronto, currently studying electrical and mechanical engineering at Sorbonne Université in Paris. I build robotics, embedded systems, and hardware reliable enough to ship.

Projects ↓ About me Let’s talk ↗
Resume
Electronics & embedded systemsPCB design · KiCad/Altium · STM32/ESP32 · power electronics · controlled-impedance routing
Robotics & autonomyROS 2 · SLAM · computer vision · sensor fusion · motion control
Mechanical design & prototypingCAD/Onshape · DFM · rapid prototyping · electromechanical integration · test infrastructure
Industrial systems & softwareEtherCAT · Modbus · embedded Linux · Python/C++ · FastAPI

Projects

View case study
SN.AI.l educational robot developed at ISIR
Autonomous edge AI2025 ↗

snAI-l: Autonomous Edge AI Robot for Education

An educational AI robot integrating Jetson, ESP32, sensing, motion, and a complete software stack.

ROS 2JetsonComputer vision
 View case study
Custom Jetson and ESP32 motor-control electronics
Embedded robotics2025 ↗

Jetson + ESP32 Robotics Control Platform

Custom electronics tying battery management, compute, motor actuation, protection, and serviceability into one reliable platform.

Power electronicsESP32Battery management
 View case study
AUV USB-C interface board
High-speed PCB design2026 ↗

High-Speed AUV Interface PCB

High-speed differential signalling and robust control in a compact form factor.

USB-CKiCadSignal integrity
 View case study
Labeled CAD render of Matthew's modular autonomous underwater vehicle
Underwater robotics2026 ↗

Modular AUV Designed for 15-Meter Depth

A system-level build spanning sealed mechanics, sensing, propulsion, embedded control, and maintainable subsystem architecture.

Mechanical designEmbedded controlSystem architecture

About me

Portrait of Matthew Sakhno

Robotics is where everything I enjoy about engineering comes together.

I grew up in Toronto and moved to Paris to study electrical and mechanical engineering at Sorbonne Université. I gravitated toward robotics because it turns those disciplines into one real system: the electronics have to survive, the mechanism has to fit, and the software has to make the whole system useful.

I'm at my best when I can follow a problem across those boundaries, learn what I'm missing, and turn an early prototype into hardware that is easier to test, repair, and trust. That's the kind of work I want to keep doing with a team building ambitious physical products.

Currently studying · Paris, France

Sorbonne Université

BSc Electrical and Mechanical Engineering · Expected 2027

Part of Sorbonne's selective CMI EEA, an intensive five-year engineering track with additional coursework, annual projects, four internships, and research-backed training.

Cross-disciplinaryElectronics, mechanics, software
Production-mindedTestable, serviceable, documented
English + FrenchNative · Fluent
Toronto + ParisWorked and studied internationally

Experience

JULY 2026 TO PRESENT · TORONTO, CA

Mechatronics Engineering Intern · Trajekt Sports

Arc · AI-powered baseball pitching machines
  • Designed a 6-layer, 48 V/30 A power-distribution and control PCB in KiCad, integrating STM32H533-based control, 24 V/48 V rails, smart eFuses, dual Ethernet, and 100-ohm controlled-impedance routing.
  • Integrated four-channel current and temperature monitoring, PWM fan control, a hardware watchdog, and industrial-PC power cycling, forming the hardware layer for remote health monitoring and recovery.
  • Consolidated power, sensing, protection, and service control onto one PCB, projected to save 15 assembly hours and approximately $1,000 per machine.
  • Designed in Onshape and personally fabricated, wired, and assembled a $10,000+ aluminum-extrusion and sheet-metal test bench with all 15 motors and an industrial control PC; enabled motor, sensor, and software testing without occupying a 1,200-lb Arc, with a safety shroud for 3,000 rpm rubber-wheel delamination tests.
  • Implemented concurrent Modbus control and telemetry across all 15 motors; configured EtherCAT controller-device communication and tuned drives for deterministic multi-axis control on the next-generation Arc platform.
JUNE TO AUGUST 2025 · PARIS, FR

Robotics Engineering Intern · ISIR

AI education robotics platform
  • Designed and implemented the complete electrical architecture and core software systems for an NVIDIA Jetson-powered edge AI mobile robot for educational applications.
  • Created a custom 4-layer PCB around an ESP32 with UART-based control and odometry for four stepper motors, serial communication with an NVIDIA Jetson Orin Nano, a self-latching soft-shutdown circuit, battery management system (BMS), and USB-C charging for safe, reliable operation.
  • Integrated and synchronized an Intel RealSense depth camera, 360° LiDAR, and wheel encoders on the Jetson for localization, obstacle awareness, and reinforcement-learning experiments.
  • Deployed RTAB-Map SLAM in ROS 2, enabling autonomous navigation and 3D mapping.
  • Trained and deployed YOLOv8 and NanoOWL for real-time recognition of classroom objects and visual markers, enabling interactive lessons.
  • Built a Python/FastAPI web interface with a Scratch-style drag-and-drop environment, allowing students to design and test robot behaviors without writing code.
  • Collaborated with mechanical and AI engineers on hardware-software integration; assembled and tested PCBs and documented the design process, usage guidelines, and technical rationale.
JUNE TO AUGUST 2024 · TORONTO, CA

Network and Systems Intern · Green Clean

Remote operations + infrastructure
  • Developed embedded Linux edge devices using Raspberry Pis and custom Bash scripts to process and stream real-time data across distributed field sites.
  • Architected a remote telemetry network from scratch, integrating 4G modems and persistent Cloudflare tunnels to ensure reliable, off-grid connectivity for remote hardware.
  • Executed the electromechanical assembly and integration of remote monitoring hardware, including low-voltage cable routing, component mounting, and network configuration.
  • Deployed and synchronized centralized hardware systems across multiple remote worksites to automate field operations and data tracking.

Ready to take your project to the next level?

Open to ambitious engineering projects, robotics work, and conversations with teams building physical products.

Email LinkedIn