Summary
Johan Malm is an AI software engineer based in Stockholm with 11 years of experience applying machine learning, computer vision, and embedded systems to real-world products from ADAS for self-driving cars to Edge AI platforms. He holds a PhD in fluid mechanics and leverages deep numerical and mathematical expertise to deliver production-grade, resource-efficient ML models and sensor-fusion algorithms for safety-critical embedded systems. Johan has a strong track record across industry and consulting roles—shaping prototypes to deployed systems at Qualcomm, Imagimob and Bombardier—while also mentoring teams and bridging academic research with product delivery. Notably, his background in large-scale spectral simulations and Kalman-based speedometry gives him uncommon strengths in algorithmic rigor and signal-processing for constrained hardware.
10 years of coding experience
13 years of employment as a software developer
Scientific field of study, Scientific field of study at Tensta Gymnasium
Doctor of Philosophy (PhD), Fluid mechanics, Doctor of Philosophy (PhD), Fluid mechanics at KTH Royal Institute of Technology
Master of Science (MSc), Engineering Physics, Master of Science (MSc), Engineering Physics at Uppsala University
English, German