Summary
Aleksey Izmailov is a seasoned CTO and software architect based in Singapore with a decade-plus track record of building production-grade distributed systems, ML pipelines, and data platforms across industries from healthcare to sports analytics. He combines deep hands-on expertise in Scala, Python, C/C++, Java and functional/object-oriented design with strong DBA and Linux ops experience to deliver real-time ML applications and scalable cloud/edge infrastructure. At TVConal he led teams to process live video feeds for sports analytics and deployed end-to-end pipelines integrating hardware accelerators, DeepStream and Kubernetes; prior roles include NLP and enterprise ML at SAP and platform architecture for cloud migrations. Aleksey’s background in pattern recognition and machine learning (MComp) pairs with practical R&D and DevOps instincts—he’s comfortable down to frame grabbers and Proxmox as well as high-level architecture. His long-standing curiosity shows through side projects (IoT presence tracking, social dictionary) and a public technical blog and GitHub presence that reflect a pragmatic, research-informed approach to engineering.
5 years of coding experience
15 years of employment as a software developer
Master of Computer Science, Pattern Recognition and Machine Learning, Master of Computer Science, Pattern Recognition and Machine Learning at Concordia University
Bachelor of Business Administration, Accounting and Business/Management, Bachelor of Business Administration, Accounting and Business/Management at American University of Central Asia
High school diploma, English Language, High school diploma, English Language at 13
Russian, French, English