Mahya Kashani is a postdoctoral researcher and software robotics AI engineer with 10 years of experience building end-to-end AI systems, from model training and deployment to backend automation and data-driven decision making. She blends academic rigor from a PhD fellowship at IT University of Copenhagen with hands-on startup and industry experience, having shipped production services using AWS, TinyBERT, and ROS for embodied and underwater robots. Her research focuses on reliable, risk-aware planning and uncertainty quantification for marine and embodied AI, while her engineering work spans real-time computer vision, backend APIs, and automated grading tools. Comfortable bridging research and product, she has delivered integrated solutions for subsea inspection under Marie-Curie support and automated ML deployment pipelines. Outside of work she brings a methodical, game-oriented mindset—often seen in chess and Rubik’s Cube solving—that informs her approach to complex problem solving.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at IT-Universitetet i København
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Mahya Kashani - Postdoctoral Researcher at Örebro University