Summary
Manos Farsarakis is an AI research scientist and platform architect at Intel’s Office of the CTO with 11 years of experience bridging high-performance computing, data science and applied AI across industry and academia. He leads system-level simulation and co-design collaborations that align emerging AI workloads—LLMs, RAG, GNNs, NLP and recommender systems—with novel hardware architectures. With an MSc in High Performance Computing (Distinction) and a physics background, he brings deep numerical and systems insight to performance-driven architecture innovation. His career spans consultancy, exascale research and hands-on optimisation work, giving him a rare blend of HPC profiling expertise and research coordination skills. Based in Edinburgh and entitled to work across the US, UK and EU, he is known for translating customer use cases into concrete architecture experiments and forecasts of what’s just beyond the horizon. An earlier life in education, communications and events informs his strength in training, stakeholder engagement and clear technical storytelling.
11 years of coding experience
4 years of employment as a software developer
Master of Science (MS), High Performance Computing, With Distinction (78%), Master of Science (MS), High Performance Computing, With Distinction (78%) at The University of Edinburgh
Bachelor of Science (B.Sc.), Physics, 77%, Bachelor of Science (B.Sc.), Physics, 77% at University of Crete
English, German, Greek