Summary
Viktor Anchutin is an AI Engineer based in Kuala Lumpur with 8 years of experience spanning backend systems, robotics, and production-grade AI. He has moved from embedded and UAV control systems to designing serverless, high-throughput microservices for retail platforms and now builds autonomous AI agents. His research work at the University of Malaya advanced multimodal speech and vision models, including a hybrid Transformer–CNN architecture implemented in PyTorch. Viktor combines hands-on systems design (PostgreSQL tuning, AWS serverless stream processing, Elastic Search) with model fine-tuning and deployment experience, enabling end-to-end solutions from sensors to cloud. Notably, he solved altitude-drift in UAVs via sensor fusion early in his career, a practical systems insight that still informs his approach to robustness in AI pipelines. He holds master’s degrees in Data Science and Mechatronics, blending academic depth with production delivery.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Mechatronics, Robotics, and Automation Engineering, Master's degree, Mechatronics, Robotics, and Automation Engineering at Bauman Moscow State Technical University
Bachelor's degree, Automation of technological processes and production, Bachelor's degree, Automation of technological processes and production at Moscow State University of Civil Engineering (MSUCE)
Master's degree, Data Science, Master's degree, Data Science at University of Malaya
English, Russian