Muhammad Ali Ashraf
@muhammadaliashraf
Senior firmware engineer and certified Scrum Master driving AI and embedded systems innovation.
What I'm looking for
I am a Senior Firmware Engineer and Scrum Master with hands-on experience delivering firmware for enterprise storage and robotics platforms, and applying AI techniques to practical problems. I lead engineering teams, mentor junior engineers, and implement CI/CD and test frameworks to catch defects early in manufacturing.
My background spans embedded C/C++, Python, Rust, ROS, computer vision, and PyTorch — applied in projects from visual SLAM and autonomous robots to AI-based medical imaging and edge device inference. I contributed to research internships and production feature delivery at Western Digital.
I am passionate about bringing RISC, IoT, and AI together to drive real-world impact, empowering cross-functional teams with Agile practices and scaled frameworks to increase yield, productivity, and product quality.
Experience
Work history, roles, and key accomplishments
Served as Scrum Master and Senior Firmware Engineer delivering firmware for enterprise hard disk recording subsystems, implemented CI/CD tests and validation that caught defects earlier in manufacturing and improved yield correlations.
Research Intern
ImViA, Université de Bourgogne
Jan 2022 - Jul 2022 (6 months)
Conducted research on omnidirectional camera models for visual SLAM on mobile robot platforms, evaluating spherical and catadioptric cameras with ROS-enabled Turtlebot2 to assess mapping viability.
Education
Degrees, certifications, and relevant coursework
Universiti Teknologi Petronas
Bachelor of Engineering, Electrical and Electronic Engineering
2019 - 2023
Grade: 3.27
Activities and societies: Capstone and academic projects including Visual SLAM, AI sorting bin, smart home IoT, IEEE outreach, and leadership roles in student society.
Bachelor's degree in Electrical and Electronic Engineering with honours, focusing on robotics, computer vision, and omnidirectional visual SLAM; cumulative GPA 3.27.
Université de Bourgogne (ImViA/VIBOT internship)
Robotics / Computer Vision
2022 - 2022
Activities and societies: Worked with spherical and catadioptric cameras, ROS, and SLAM evaluation.
Research internship at ImViA (Université de Bourgogne) focused on omnidirectional camera models and Visual SLAM on a Turtlebot2 platform.
International General Certificate of Secondary Education (IGCSE)
IGCSE, Secondary Education
Grade: 4A*, 2A, 1B
Completed IGCSE O-Level examinations with strong performance (4A*, 2A, 1B).
Availability
Location
Authorized to work in
Job categories
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