Raul Martynek

Raul Martynek joined DataBank in 2017 as the Chief Executive Officer. In this role, he defines the strategic direction of the company and its operations. Raul is a 20+ year veteran in the telecom and Internet Infrastructure sector. He most recently served as a Senior Advisor for Digital Bridge Holdings LLC. Prior to Digital Bridge, he served as CEO for New Jersey-based data center and managed services operator Net Access, LLC. Net Access was acquired in 2015 by Denver-based data center operator Cologix. 5Prior to Net Access, he was the CEO of Voxel dot Net, Inc., a global managed hosting and cloud company, which was acquired by Internap Network Services Corp. in 2012. Mr. Martynek also served as the Chief Restructuring Officer of Smart Telecom, a Dublin, Ireland-based fiber carrier which was acquired by Digiweb in 2009.

Before that he evaluated investment opportunities in the telecommunications and Internet sector as a Senior Advisor at Plainfield Asset Management, a $4B hedge fund. Prior to Plainfield, Mr. Martynek spent 13 years with telecom and Internet provider InfoHighway Communications Corp; first as Chief Operating Officer of Eureka Networks and then as President and CEO of InfoHighway. InfoHighway was acquired by Broadview Networks in 2007. Mr. Martynek earned a Bachelor of Arts in Political Science from Binghamton University and received a Master Degree in International Affairs from Columbia University School of International and Public Affairs.

David Hinkler

David Hinkler brings over three decades of comprehensive manufacturing expertise to the table. His career spans 17 years in Operational Technology (including industrial controls, automation systems, manufacturing execution systems, and quality systems) complemented by 16 years in Information Technology (covering ERP implementations, IT/OT integrations, security, and advanced analytics).

With leadership experience across multiple industries – from Life Sciences (15 years) and Food & Beverage (8 years) to Automotive (5 years) and Chemical (4 years) – David has developed exceptional depth of knowledge in industrial controls, data integration, manufacturing execution systems, quality management, and security implementations.

As a recognized industry expert, David has contributed to numerous technical committees and publications, including IEC 62443, ISA-95, BioPhorum, and MESA Smart Manufacturing, establishing himself as a thought leader in manufacturing technology integration and digital transformation.

Daniel Wu

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

Godwin Maben

Godwin Maben is a seasoned professional with an extensive 30-year experience in the semiconductor industry, specializing in low-power design and power optimization for System on Chip (SoC) architectures. Godwin has contributed to the development of SoCs for mobile, IoT, GPU, and networking applications, focusing on ARM and RISC-V based designs.

Godwin has a proven track record in developing the architecture of Power Management Integrated Circuits (PMIC) for mobile and IoT devices, and architecting mobile SoCs with advanced power structures, including power gating, Dynamic Voltage and Frequency Scaling (DVFS), and Multi-Voltage (MV) techniques.

In addition to optimizing logic, system, and RTL architectures to reduce power for hundreds of blocks, Godwin has extensive experience in RTL coding, specifically targeting energy efficiency for hundreds of partitions. Skilled in developing custom cells to minimize glitches and has implemented algorithms within tools to optimize power consumption.

Godwin has developed comprehensive methodologies for implementing zero-pin retention flops from pre-RTL to silicon and has architected tools such as UPF Architect. Additionally, has created higher-level abstractions to Natural Language Processing (NLP) for various tools, including HDL, SDC, and UPF.

With expertise in designing low-power circuits and HDL coding with a focus on low power, Godwin excels in power architecture, PMIC design, and debugging power issues from simulation through emulation, synthesis, place, and route (P&R), and Engineering Change Order (ECO) processes. Dedicated to advancing low-power design techniques and methodologies, ensuring the development of energy-efficient and high-performance semiconductor solutions.

Richard Ho

Richard Ho is Head of Hardware at OpenAI working to co-optimize ML models and the massive compute hardware they run on. Richard was one of the early engineers working on Google TPUs. Before Google, Richard was part of the D. E. Shaw Research team that built the Anton molecular dynamics simulation supercomputer. Richard started his career as co-founder and Chief Architect of 0-In Design Automation, a pioneer in verification tools for chip design (acquired by Mentor Graphics/Siemens). Richard has a Ph.D. in Computer Science from Stanford University and M.Eng, B.Sc. from University of Manchester, UK.

Sakyasingha Dasgupta

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

Donald Thompson

Donald is currently a Distinguished Engineer Microsoft, following his recent tenure as Distinguished Eningeer at LinkedIn, where he oversaw the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his previous 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

Sabastian Mugazambi

Sabastian Mugazambi is a seasoned technology leader with a passion for artificial intelligence and machine learning. As a Group Product Manager for Cloud AI Infrastructure at Google, Sabastian plays a pivotal role in shaping the future of AI acceleration. His focus on Cloud TPUs, Google's custom-designed machine learning processors on GCP, has enabled him to lead the charge on groundbreaking advancements in Cloud AI Infra technology. Sabastian's leadership as lead product manager has been instrumental in the successful launch of several generations of Cloud TPUs, including the v5e, v5p, and Trillium TPU. These innovations have empowered researchers, developers, and businesses to tackle the world's most complex AI challenges, from LLMs to broader cutting-edge generative models. With over half a decade of experience at Google, Sabastian has honed his expertise in the design, development, and deployment of AI infrastructure, and his deep understanding of the evolving AI landscape and commitment to delivering exceptional user experiences have made him a driving force in democratizing AI accelerators and making their power accessible to all through Google Cloud Platform. Previously, he founded and led a Natural Language Processing start-up that was acquired by a larger tech company and consulted on AI/ML programs for large tech companies.