Summary
Stefanos Laskaridis is an Applied Scientist at Amazon Science with 11 years’ experience researching distributed systems, federated learning and efficient on-device ML, now focused on optimizing LLM capabilities for Alexa+. Former research scientist roles at Brave and Samsung AI Center (Cambridge), plus engineering work at CERN, give him a rare blend of production-grade systems engineering and applied ML research. He holds an MPhil from the University of Cambridge and has a track record of shipping tooling for large-scale storage and inference pipelines, from CASTOR integrations at CERN to collaborative inference research. Stefanos combines deep systems thinking with practical deployment experience for constrained devices, and lately explores training and deployment efficiency for LLMs. Based in London, he brings interdisciplinary fluency across mobile, distributed and deep learning systems that accelerates moving models from lab to product.
11 years of coding experience
9 years of employment as a software developer
Scientific Computing, Scientific Computing at CERN School of Computing
Accounting and Finance, Accounting and Finance at University of Macedonia
MPhil in Advanced Computer Science Computer Science, MPhil in Advanced Computer Science Computer Science at University of Cambridge
Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Aristotle University of Thessaloniki (AUTH)
Massive Open Online Courses
French, Greek, English