Summary
Matas Gumbinas is a data scientist and software engineer with eight years of experience spanning computer vision, natural language processing, and time-series ML systems. He has designed and deployed end-to-end ML solutions, from day-ahead market predictions using XGBoost, CatBoost and LSTM to real-time streaming NLP pipelines and cloud-based MLOps with MLflow and AWS CDK. His roles across Ezpada Group, Nexentria, iDenfy, and current positions at Signal Technologies and Adroiti Technologies reflect a track record of building scalable data-processing engines (Python, Docker, PostgreSQL, Redis, RabbitMQ) and mentoring AI teams. He earned a Master’s in Computer Science with honours from Kaunas University of Technology, complementing hands-on engineering with strong academic grounding. Based in Kaunas, Lithuania, he combines curiosity-driven learning with practical delivery, turning complex data problems into robust, production-ready systems.
8 years of coding experience