Summary
Amarildo Likmeta is an Applied AI Researcher and PhD graduate in Data Science and Computation with nine years of experience bridging academic research and applied ML. Based at the AI and Robotics Lab of Politecnico di Milano and now at ML cube, his work focuses on efficient exploration, planning, and reinforcement learning, with a track record spanning research, postdoctoral work, and industry internships including the Vector Institute. He combines deep theoretical grounding from his joint PhD with hands-on software and full-stack experience gained earlier in his career, enabling practical deployment of research ideas. Comfortable teaching and mentoring, he has supported multiple courses at Politecnico di Milano while producing research aimed at making RL more sample-efficient and scalable. Notably, his trajectory reflects a deliberate move from research intern to research lead and applied researcher roles, signaling a focus on translating cutting-edge AI into real-world systems.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science and Engineering, Master's degree, Computer Science and Engineering at Politecnico di Milano
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Polytechnic University of Tirana
English, Italian, French, Albanian