Summary
Vladimir Yashin is an AI Engineer and outcome-oriented engineering leader with 13 years of experience designing and delivering data-driven and machine learning solutions across telecom, finance, and enterprise software. He’s led distributed teams at Cisco and BNP Paribas Fortis, driving full ML application lifecycles from research and cost/benefit analysis to MVP and Agile delivery, and now focuses on GenAI engineering at UCB. His hands-on background spans NLP and language modeling, search, computer vision, anomaly detection, forecasting and high-frequency telemetry—skills honed while shipping production ML in cloud environments like AWS. A remote-work native based in Brussels, he combines technical depth with strong communication and team-building across time zones. Notably, his career began in network engineering and DevOps, giving him rare end-to-end operational insight into deploying and scaling ML systems. Fluent in English and French, he blends research-minded experimentation with pragmatic, outcome-driven delivery.
13 years of coding experience
10 years of employment as a software developer
Igor Sikorsky Kyiv Polytechnic Institute
English, French, Russian, Ukrainian