Summary
Igor Kasianenko is a Partner Engineer in GenAI at Meta with nine years of experience building production-grade ML and computer vision systems. He holds an MSc in Applied Physics and combines deep algorithmic expertise (image/signal processing, fine-grained recognition) with hands-on engineering in Python, C++, C#, MATLAB and deployment on AWS and mobile platforms. At KanduAI he delivered resource-efficient inference (patented engine with 96% compute savings), on-device demographic models with 99% accuracy, and sped up training pipelines fourfold by migrating to PyTorch. Comfortable across research and product boundaries, he has shipped SDKs in C++/Kotlin, automated CI/CD and experiment tooling, and contributed to open-source projects like dlib and VoTT. Based in London, he’s known for turning state-of-the-art research into pragmatic, fast-to-market solutions that shrink development cycles from weeks to minutes.
9 years of coding experience
11 years of employment as a software developer
Information Technology Security, Information Technology Security at Technion - Israel Institute of Technology
Practical DL for coders, Practical DL for coders at fast.ai
Computer Science, Computer Science at Dnepropetrovsk Lyceum of Information Technology
Master of Science (M.S.), Applied Physics, Master of Science (M.S.), Applied Physics at Taras Shevchenko National University of Kyiv
English, Ukrainian, Hebrew, Russian, German