Summary
Malcolm Watt is an Automation Engineer and McGill-trained electrical engineering graduate with 11 years of hands-on experience across robotics, embedded systems, and cloud-integrated web tooling. He has led rover and AUV software teams, implemented FPGA-based SDR prototypes for spectrally efficient 5G research, and contributed to AutoML research focused on neural network design for resource-constrained systems. Proficient in Python, C++, ROS, Keras, Elixir/Phoenix and FPGA toolchains, he blends low-level hardware experience with modern ML and web stacks. His background includes client-facing cloud development work that sharpened his communication and delivery skills, and multiple projects where he translated experimental research into practical tools. Colleagues describe him as highly motivated, curious, and comfortable balancing multi-objective trade-offs like energy versus accuracy in embedded ML. He’s seeking a collaborative company that values learning, autonomy, and measurable impact.
10 years of coding experience
2 years of employment as a software developer
DEC, Pure & Applied Science, DEC, Pure & Applied Science at CEGEP - John Abbott College
Bachelor of Engineering (BEng) (Underway), Electrical and Electronics Engineering, 3.59, Bachelor of Engineering (BEng) (Underway), Electrical and Electronics Engineering, 3.59 at McGill University
French, English