class SLAMBridge(Node):
  def __init__(self):
    super().__init__('slam_bridge')
    self.create_subscription(PointCloud2,
      '/cloud_map', self.cloud_cb, 1)
    self.create_subscription(Odometry,
      '/odom', self.odom_cb, 1)
    self.timer = self.create_timer(2.0, self.send_data)

  def send_data(self):
    data = {
      "point_cloud": self.point_cloud[:1000],
      "trajectory": self.trajectory,
      "loop_closures": self.loop_closures
    }
    requests.post(FASTAPI_URL, json=data, timeout=1.0)

Hi, I’m

Matthew Sakhno

Toronto → Paris

Originally from Toronto and 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

Spark rover built by Matthew Sakhno for spatial video capture

Hackathon winner · ~150 hackers2026 ↗

Spark Rover — 1st Place at SummerHacks

A 24-hour ESP32 rover integrating motor drive, servo steering, custom wiring, CAD, FDM fabrication, and spatial capture.

ESP32Motor controlRapid CAD

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

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 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.

Verified profiles for Matthew Sakhno: LinkedIn, GitHub, Instagram, Devpost, and ISIR.

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

JUNE TO AUGUST 2025 · PARIS, FR

Robotics Engineering Intern · ISIR

AI education robotics platform

Designed the electrical architecture and core software for a Jetson-powered educational AI robot, coordinating mechanical and AI integration and documenting system decisions.
Designed, assembled, and tested a four-layer ESP32 PCB for four stepper motors, odometry, Jetson UART communication, soft shutdown, battery management, and USB-C charging.
Integrated Intel RealSense, 360° LiDAR, and wheel encoders; deployed RTAB-Map SLAM in ROS2 for localization, obstacle awareness, autonomous navigation, and 3D mapping.
Deployed YOLOv8 and NanoOWL for real-time object and marker recognition and built a Python/FastAPI Scratch-style interface for no-code robot programming.

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