Sina Sheikholeslami is a distributed systems and machine learning researcher with 13 years of software engineering experience, currently a PhD student at KTH focusing on scalable distributed ML systems and now affiliated as a postdoc in the Division of Energy Systems and KTH Climate Action Center. He combines industry experience—formerly a Big Data R&D engineer at Digikala and research internships at RISE SICS and Logical Clocks—with an EIT Digital MS in Data Science from TU/e and KTH, giving him a rare blend of production-grade engineering and academic rigor. His background includes strong theoretical foundations (top-scoring mathematics/physics diploma) and leadership experience from his student chapter presidency, indicating both technical depth and team-oriented initiative. Known for bridging research and real-world systems, he makes practical trade-offs to deploy distributed ML at scale while pursuing climate-focused energy systems applications.
13 years of coding experience
Master of Science - MS, Data Science and Distributed Systems, Master of Science - MS, Data Science and Distributed Systems at KTH Royal Institute of Technology
Amirkabir University of Technology
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Eindhoven University of Technology
Diploma, Mathematics And Physics, 19.66/20, Diploma, Mathematics And Physics, 19.66/20 at Mirza Koochak Khan (Rasht NODET)
Master of Science - MS, Data Science, Master of Science - MS, Data Science at EIT Digital Academy
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