Jamil Dhanani is a Machine Learning Engineer with 12 years of experience building production ML systems and prototypes across consumer hardware, startups, and research. He has led modeling teams at Apple to deliver embedded gesture recognition and wrote a C neural network runtime for constrained devices, and later founded Gamma.io, scaling it to $100k+ MRR and 30k+ MAUs. More recently he’s worked on autonomy, computer vision, and robotics at a stealth company while conducting transformer-based time-series research at Stanford SAIL under Andrew Ng. Comfortable bridging product, research, and low-level engineering, he combines sensor-fusion expertise with practical systems skills from C++ and embedded runtimes to end-to-end ML products. Notably, his background includes shipping commercial iOS apps and building cloud tooling at Intel, reflecting a rare mix of entrepreneurial growth and deep systems experience.
12 years of coding experience
14 years of employment as a software developer
Bachelor of Applied Science (BASc) with Honours Engineering, Bachelor of Applied Science (BASc) with Honours Engineering at University of Toronto
Master of Science - MS Computer Science (AI Track), Master of Science - MS Computer Science (AI Track) at Stanford University
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Jamil Dhanani - Machine Learning Engineer at Stealth