Niccolo Dejito is an AI integrations specialist and robotics software engineer with a decade of experience applying machine learning and geo-data techniques to physical-world problems. He has moved between industry and research roles—from geo machine learning at Thinking Machines and geo-data science at Smart Communications to robotics engineering at Void Robotics and Dyson—bringing a systems-first approach to deploying models on real robots and infrastructure. Trained in applied mathematics with a focus on mathematical finance, he pairs rigorous quantitative instincts with practical engineering for reliable, production-grade solutions. Niccolo’s work emphasizes bridging spatial data, perception, and control, reflecting a belief that lasting impact happens in the physical world rather than purely in virtual models. Currently based in Metro Manila, he combines research curiosity with hands-on product delivery across startups and larger engineering teams. An oft-overlooked strength is his background in risk and assurance from EY, which informs disciplined, auditable AI deployments.
10 years of coding experience
6 years of employment as a software developer
BS Applied Mathematics Major in Mathematical Finance, BS Applied Mathematics Major in Mathematical Finance at Ateneo de Manila University
Contributions:279 pushes, 1 branch in 2 years 6 months
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