


Sean Ma
As Head of Applied AI Research at Amazon Dash Cart, Sean Ma leads the AIML science organization (multiple science and software teams) advancing computer vision, artificial intelligence, and machine learning. Sean has a PhD in Electrical and Computer Engineering focusing on image and video understanding using AI from the University of Illinois, and also holds an innovation leadership certification from MIT, plus a certification of software program/project management and certification for Scrum Product Owner.
Sean has built, led, and managed globally distributed teams of researchers and engineers, delivered proof-of-concepts and production solutions, and won multiple awards and patents.

Krishna Rangasayee
Krishna Rangasayee is Founder and CEO of SiMa.ai. Previously, Krishna was COO of Groq and at Xilinx for 18 years, where he held multiple senior leadership roles including Senior Vice President and GM of the overall business, and Executive Vice President of global sales. While at Xilinx, Krishna grew the business to $2.5B in revenue at 70% gross margin while creating the foundation for 10+ quarters of sustained sequential growth and market share expansion. Prior to Xilinx, he held various engineering and business roles at Altera Corporation and Cypress Semiconductor. He holds 25+ international patents and has served on the board of directors of public and private companies.

Eliana Stefani
Eliana Stefani, PhD is a Staff Autonomy & AI Research Engineer at Lockheed Martin, with expertise in autonomous systems, AI, and robotics. She has experience architecting solutions to complex problems, leading teams across engineering disciplines, and deploying artificially intelligent systems to the edge.
As Principal Investigator, she architected the autonomy stack and developed novel autonomous driving software for the Lunar Terrain Vehicle, enabling a rover to navigate dynamic obstacles while traversing unmapped environments; garnering interest from additional customers.
As Program Manager and later Chief Engineer, she architected system design, led a multi-disciplinary engineering team from research concept to successful test events, guided the program to a contract win, and interfaced with customers and stakeholders.
Dr. Stefani's strong track record of delivering high-impact results and driving program success has been recognized with multiple awards from within Lockheed Martin. She has presented at conferences including NVIDIA's GTC-DC and Amazon's re:MARS.

Bala Chidambaram

Prashanth Chakravartula

Matt Roman

Marc Austin
