Jim Galovski
Mrinal Iyer
Mrinal Iyer is Director of Engineering at Graphcore leading a team focused on developing highly performant and scalable Deep Learning benchmarks for MLPerf™. During his career, beginning at Intel and now at Graphcore, he has worked in many stacks of the semiconductor space, from cutting edge lithographic processes, system software, compilers, kernels to frameworks and applications. Mrinal holds a PhD from the University of Michigan – Ann Arbor, where he worked on large scale quantum-mechanics problems.
Jawad Khan
Dr. Jawad Khan is a Principal Engineer at Intel® Corporation. He has over 16 years of experience with high performance storage and memory system design and delivering ground-breaking products and proof of concept prototypes using FPGAs. More recently Jawad’s focus has shifted towards optimizing system level architecture for AI/ML applications, with particular emphasis towards memory and storage bottlenecks. He is a prolific inventor with 74 patents granted and/or pending. Jawad received his Ph.D. from the University of Cincinnati, in Computer Science and Engineering.
Arvind Sujeeth
Arvind Sujeeth is Sr. Director of Software at SambaNova Systems. Arvind leads the compiler organization and is responsible for shaping the company’s software vision. Before joining SambaNova Systems, Arvind was the co-founder and chief technology officer of fintech startup mines.io, using machine learning to increase financial access in emerging markets. He was previously a research assistant at Stanford University, where he developed compilers for parallel and heterogeneous computing platforms. Arvind holds a PhD and MS in electrical engineering from Stanford University and a BS in computer engineering from the University of Texas at Austin.
Anahid Ugurlayan
Karim Beguir
Karim Beguir is the chief executive officer and co-founder of InstaDeep.
He helps companies come to grips with the latest AI breakthroughs and deploy them to improve efficiency and ROI.
As a graduate of France's Ecole Polytechnique and former program fellow at New York University's Courant Institute, Karim has a passion for teaching and using applied mathematics. He's also a Google developer expert and a mentor at Google for Startups Accelerator, and is a steering committee member of Deep Learning Indaba.
Karim is on a mission to democratize AI and make it accessible to a wide audience.