Matthew Aitchison is an AI research engineer and software builder with a decade of experience applying reinforcement learning and transformer architectures to vision and online-learning problems, armed with a PhD in RL from ANU and top-tier mathematics and CS training. He contributed to autonomy evaluations and novel online transformer work at DeepMind, lectured in computer graphics, and delivered a commercial thermal-vision animal tracking system during an earlier internship. Equally at home in theory and low-level engineering, he spent a sabbatical hand-crafting software for a Pentium MMX—writing drivers and reimplementing core tooling—which speaks to a rare appetite for systems-level craftsmanship. Now at Mantic, he blends rigorous research instincts with pragmatic shipping skills and an appetite for building infrastructure that makes AI safer and more useful.
10 years of coding experience
2 years of employment as a software developer
Australian National University
Bachelor’s Degree, Maths and Computer Science, GPA 6.76/7, Bachelor’s Degree, Maths and Computer Science, GPA 6.76/7 at University of Canterbury
Example implemention of the Proximal Policy Optimization algorithm
Contributions:532 commits, 434 pushes, 13 branches in 3 years 3 months
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Matthew Aitchison - Member Of Technical Staff at Mantic