Summary
Sina Shahandeh is a seasoned AI and data science leader with 12 years of experience building technology ventures from research prototypes to exits, currently serving as Co-founder and CTO of RadiCAIT in Toronto. He has repeatedly translated deep technical expertise—PhD-level materials engineering and large-scale numerical simulation—into product-grade AI systems for healthcare, IoT, e‑commerce and biotech. As VP of Data Science at ecobee he shaped ML strategy through hypergrowth and acquisition, and as CTO/founder he has raised seed funding and built clinical-grade MVPs, including a predictive EHR for a digital fertility clinic. His work often sits at the intersection of image-heavy scientific problems and scalable machine learning, from quantitative microscopy platforms to synthetic PET generation from CT. Known for turning complex, noisy datasets into practical products, he combines hands-on engineering with strategic fundraising and commercialization experience.
12 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD) Materials Engineering, Doctor of Philosophy (PhD) Materials Engineering at The University of British Columbia
BSc Materials Science and Engineering, BSc Materials Science and Engineering at Ferdowsi University of Mashhad
MSc Materials Science and Engineering, MSc Materials Science and Engineering at Sharif University of Technology