oneAPI DevSummit for AI 2022

Wei Li

Wei is responsible for AI software engineering and hardware co-design. His team has been instrumental in Intel’s multi-billion dollar AI revenue growth. He received his Ph.D. in Computer Science from Cornell University on supercomputers, and taught Advanced Compiling Techniques at Stanford University.
As a performance software technologist, he leads teams on deep learning, statistical machine learning and big data analytics, as well as AI acceleration on CPU, GPU, and XPU architectures with heterogenous and distributed computing. His team won competitions and set performance world records in AI, data analytics and high performance computing, and shipped software running on hundreds of millions of computers. He is passionate about product vision, strategy, execution, and technology innovation.

Jean-Luc Chatelain

Jean-Luc Chatelain is the CTO of Accenture Applied Intelligence and leads the innovation and technology strategy focused on artificial intelligence, advanced analytics and cognitive automation. With the strength of a global and diverse team of designers, engineers & data scientists he leads the development and roadmap of our flagship system of intelligence solution, the Applied Intelligence Platform (AIP+). With it, our clients are enabled to be data driven, AI powered and leverage all trusted data to discover actionable insights, inform their business processes and deliver new & accretive business outcomes.

Ramtin Davanlou

As a part of Accenture’s Applied Intelligence group, Ramtin Davanlou leads the development of global offering and solutions in analytics and artificial intelligence. His key responsibility is to drive growth in AI through innovation and thought leadership. He works with ecosystem partners and provides optimized solutions and technology architecture recommendations to clients in various industries.

Chunyang Hui

Chunyang Hui is a software engineer of Ant Group and is now working on Occlum, a memory-safe, multi-process library OS for Intel SGX. His current main interest is system security. Before joining Ant Group, Chunyang was a cloud engineer at Intel focusing on I/O acceleration.

Qiyuan Gong

Dr. Qiyuan Gong, AI Framework Engineer, Intel. He joined Intel in 2017 after he finished his PhD in Southeast University where he focused on data anonymization & privacy. He is a key contributor to open source Big Data + AI project BigDL (https://github.com/intel-analytics/BigDL), Analytics-Zoo (https://github.com/intel-analytics/analytics-zoo) and Big data project SSM (https://github.com/Intel-bigdata/SSM).  Now at Intel, he is working on Privacy Preserving Machine learning, Federated Learning and BigDL Cluster Serving etc.

Audrey Reznik

Audrey Reznik is a Sr. Principal Software Engineer in the Red Hat Cloud Services – OpenShift Data Science team focusing on managed services, AI/ML workloads and next-generation platforms.  She has been working in the IT Industry for over 20 years in full stack development to data science roles.

As a former technical advisor and data scientist Audrey has been instrumental in educating data scientists and developers about what the OpenShift platform is and how to use OpenShift containers (images) to organize, develop, train and deploy intelligent applications using MLOps.  She is passionate about Data Science and in particular the current opportunities with ML and Open Source technologies.

Sean Pryor

Sean Pryor is a Sr. Software Engineer at Red Hat, working on OpenDataHub and Red Hat Open Data Science integrating ISV partners.

Rod Butters

Rod Butters, Chief Technology Officer for Aible, brings 20 years of CTO, CMOP and CPO experience to the Aible Team, including successfully delivering enterprise apps, infrastructure and cloud solutions to market, from concept to market leadership. He has pioneered new categories in Application Servers (Oracle), Multi—channels Contact Center (Aspect Communications), IT Automation (Tidal Software, acquired by Cisco), and flash virtualization (RNA Networks, acquired by Dell). Prior to Aible, Rod was CTO of Kenandy where he architected, built and deployed Cloud ERP on the Salesforce Platform for a solution that could uniquely scale from mid-sized companies to $2B+ enterprises without worrying about the underlying infrastructure.

Michael Galarnyk

Michael Galarnyk works on AI Blueprints at cnvrg.io pre-built, open-source ML pipelines that can be quickly integrated with any application. In his spare time, he teaches Python based Machine Learning classes through Stanford Continuing Studies and LinkedIn Learning. You can find him on Twitter, Medium, and GitHub.

Bogdan Zhurakovskyi

Bogdan is a Machine Learning Engineer at Hasty.ai. He received his PhD from National Technical University of Ukraine ‘Kyiv Polytechnic Institute’.​

Penporn Koanantakool

Penporn Koanantakool is a senior software engineer at Google. She leads TensorFlow’s performance optimization collaboration with Intel. Penporn holds a Ph.D. in computer science from the University of California, Berkeley, and a B.Eng. in computer engineering from Kasetsart University, Thailand.

Kentaro Kawakami

Kentaro Kawakami is the Senior Researcher at Platform Innovation project, Fujitsu Laboratories Ltd. He joined Fujitsu Laboratories in 2007. He has been involved in R&D of image codec LSIs and wireless sensor nodes, and is currently engaged in R&D of AI software for Arm HPC. His department is involved in researching and developing techniques to accelerate deep learning (DL) processes on Fugaku, PRIMEHPC FX1000/700 and GPU-based supercomputers. His GitHub account name is “kawakami-k”. Kawakami-san lives in Japan and loves cats.

Bob Chesebrough

Robert Chesebrough is currently a Technical Evangelist in the Intel Developer Academy. His educational background is physics. His industry experience has been software development and application/performance engineering for fortune 100 companies and national laboratories for over three decades. He is a data scientist, using machine learning/ deep learning for eight years while working for Intel and other high-tech companies.

Raymond Lo

Raymond Lo is the software evangelist at Intel focusing on the OpenVINO toolkit. Previously, Raymond was the founder and CTO of Y Combinator-backed augmented reality company Meta, the technology evangelist for Samsung NEXT, and Technical Solutions Consultant for Google Cloud AI. During his PhD, Raymond worked with Prof Steve Mann, who is widely recognized as the father of wearable computing from MIT Media Lab. Together they published numerous of research papers on the topic of GPGPUs, open-source HDR videos, and open-source wearable computing projects in the University of Toronto. In 2013, Raymond took his augmented reality (AR) eyeglasses invention and functional prototype from Toronto and co-founded Meta that raised over $80 million for their pioneering development of augmented reality eyeglasses. As the CTO of Meta, he successfully developed and shipped Meta 1 and Meta 2 with a team of over 150+ people. As the executive and Evangelist, he had the opportunity to speak at conferences such as TED talk, SIGGRAPH, Tencent WE Summit, and Hello Tomorrow. His unique combination of startup entrepreneurship and enterprise experiences helped Raymond to create connections to hundreds of startups and thousands of developers around the world.

Rahul Unnikrishnan Nair

Rahul is a Machine Learning Architect at Intel, with ten years of experience in data science, Machine Learning, and four years in applied Deep Learning. He joined Intel seven years ago in the OpenStack Cloud team after finishing a Master’s degree in computer engineering at the University of Texas. As a core member of the OpenStack security group, Rahul built tools for automated security analysis on the cloud. Following that, he joined the AI group in the Opensource Technology Center to develop Deep Learning and Deep Reinforcement Learning algorithms optimized for Intel CPUs. In this role, he developed Deep Learning pipelines that scale on the cloud, worked with startups, OEMs, and internal intel teams in optimizing AI workloads on Intel hardware, and open-sourced the learnings and code externally as blogs and code on GitHub. Rahul was also part of an Intel incubation startup as the technical lead in developing an AI platform for drug discovery, focusing on system design for AI and scaling machine learning solutions on the cloud. He was the architect and technical lead of the first group at Intel to release deep learning containers and held the role of container architect for oneAPI products.