Hi, I’m Seyed Salehi.

I’m an engineer passionate about building smart, efficient, and reliable systems that bring AI and robotics to life. With hands-on experience in robotics, embedded systems, C/C++ programming, FPGA/ASIC design, and machine/deep learning, I bridge hardware and software to solve real-world problems. Currently studying an M.Sc. in Computer Vision, Robotics, and Machine Learning at the University of Surrey.

About

Based in: Guildford, England, UK

I bridge hardware and software across robotics, embedded systems, and AI—turning ideas into working systems.

Skills

Programming

  • C
  • C++
  • Python (Jupyter/Conda)
  • Matlab/Simulink

Embedded/EDA

  • STM32Cube
  • Keil MDK
  • Arduino
  • Atmel Studio AVR
  • Visual Studio
  • Code Composer Studio

Digital Design

  • Vivado
  • Xilinx ISE
  • ASIC/FPGA
  • VHDL

Circuit & CAD

  • ADS
  • PSpice
  • Proteus
  • Autodesk Fusion

AI/ML

  • Deep Learning
  • Computer Vision
  • Colab IDEs

Other

  • COOJA (IoT)
  • EndNote
  • Overleaf

Experience

Robotics Training Expert

Sigma Company
  • Coached teams for national and international robotics competitions.
  • Co-developed curriculum and starter robot kits (mechanics, circuits, and firmware).
  • Organising team for Tehran National Robotics (2021) & India International Robotics (2022).

Software Engineering Team Member

Sarmad Company
  • C programming for embedded systems in Visual Studio & Code Composer.

Software Engineering Team Member

Cube Electronic Company
  • C/C++ development for STM32 using Keil.

NOC Team Member

Xicomm International Telecommunications
  • Monitored and tested VoIP call quality and routing.

Teaching Assistant (various)

Shahid Beheshti University
  • Microprocessors & Computer Architecture (EE).
  • Technical Language (EE).
  • Teaching Assistant (CE).

Education

M.Sc. Computer Vision, Robotics & Machine Learning

University of Surrey ·

  • Modules: Robotics, Advanced Topics in Computer Vision, Deep Learning

B.Sc. Electrical Engineering (GPA 77/100)

Shahid Beheshti University ·

  • Thesis: Simulation of Self-driving Car
  • Selected courses: Embedded Systems, AI, Linear Control

High School Diploma in Mathematics & Physics (GPA 96/100)

NODET (Helli 4) ·

Publications & Certifications

Publication

  • Enhancing SOC and SOH Estimation in Lithium-Ion Batteries through SABRE and RELIANT-Based Approach

Certificates

  • Machine Learning Specialization (Coursera/Stanford)
  • Mathematics for ML and Data Science (DeepLearning.AI)
  • Self-Driving Car Engineer (Udacity)
  • Photoshop Certificates (TVTO & Shahid Beheshti University)
  • English Teacher Training (Kish Institute, SBU)

Memberships & Activities

Contact

Last updated 2025-10-29.