Ivan Senilov is a Staff Software Engineer specializing in ML and AI with nine years of experience building end-to-end, production-grade machine learning systems across fintech, communications, and logistics. He has progressed from hands-on ML engineering to technical leadership roles, delivering high-throughput anomaly detection and streaming pipelines at Twilio, core ML services and merchant/transaction intelligence at Tarabut, and now leading ML initiatives at OpenAsset. Comfortable in both research-adjacent work and pragmatic production engineering, he combines deep model and data-pipeline expertise (Scala/Python) with experience deploying RESTful ML services and computer vision/NLP solutions. A UK Global Talent visa holder based in Cambridge, he maintains an active experimental and publication footprint on GitHub and Medium, signaling continual exploration beyond day-to-day delivery. Notably, his background spans energy systems and robotics studies, giving him a practical systems perspective that informs robust, scalable ML architectures.
9 years of coding experience
10 years of employment as a software developer
Master of Science (discontinued) AI and Robotics, Master of Science (discontinued) AI and Robotics at Innopolis University
Exchange semester Artificial Intelligence and Robotics, Exchange semester Artificial Intelligence and Robotics at Sapienza Università di Roma
Specialist (Master's degree equivalent) Electrical and Electronics Engineering, Specialist (Master's degree equivalent) Electrical and Electronics Engineering at Obninsk State Technical University for Nuclear Power Engineering
Basic Python Kafka consumer and producer implementation leveraging AVRO schemas
Contributions:10 commits, 1 PR, 9 pushes in 4 months
avrobasic-pythonsinkpythonkafka-consumer
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Ivan Senilov - Staff Software Engineer - ML AI at OpenAsset