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Dean Stokes

Graduate Software Engineer

MEng Electronic Candidate

About Me

Hello! I'm Dean Stokes, a Software Engineer and a Master's student specializing in Electronics. With a deep-rooted passion for technology, I thrive in the intersection of electronics, embedded systems, and software engineering. My journey in these fields has been fueled by a relentless curiosity and a desire to solve complex engineering challenges.

Throughout my academic and professional career, I've honed my skills in developing innovative solutions that merge hardware and software seamlessly. Whether it's designing intricate embedded systems or creating robust software architectures, I am driven by the pursuit of excellence and the thrill of bringing ideas to life.

This website serves as a platform where I can share my work, thoughts, and experiences with like-minded individuals and professionals. Here, you'll find a collection of my projects, research, and insights into the ever-evolving world of technology. I invite you to explore my work, engage with my content, and connect with me as I continue to push the boundaries of what's possible in engineering and technology.

Experience

Graduate Software Engineer

Gendac Software, Innovations & IoT | 2024 - Present | South Africa

  • Full stack web development, working with C#, Angular & SQL.

Education

Master of Engineering (Electronic)

Stellenbosch University | 2024 - Present | South Africa

  • Specialising in Robotics and Machine Learning.
  • Current technology used includes: Python, C++, Ros2, Mediapipe, and Nvidia Isaac Sim.

Bachelor of Engineering (Electrical and Electronic)

Stellenbosch University | 2019 - 2023 | South Africa

  • Gained knowledge in Electronics, Energy Systems, Control Systems, Software, Embedded Systems and Machine Learning.
  • Graduated with distinction.
  • Engineering Mathematic Learning Assistant for first and second year students.

Projects

Real-Time Robotic Hand Control via Hand Pose Estimation

This project explore the use of hand pose estimation and gesture recognition to control a robotic hand in real-time. By leveraging advanced computer vision techniques, this project enables a robotic hand in Isaac Sim to mimick hand movements with precision. This approach highlights the potential for responsive control in robotics, bridging the gap between human-robotic interactions.

Link to the project