Edge AI | Kisaco Research

Edge AI

Autonomy
On-Device ML
Robotics
Industrial Edge
Panelists

Author:

Assaf Gad

Chief Strategy Officer & GM
Intuition Robotics

Assaf Gad is the Chief Strategy Officer and General Manager at Intuition Robotics, focusing on bridging the gap between technology and real-world challenges, particularly for vulnerable populations. A seasoned product leader, Gad's career is driven by a passion for creating innovative user experiences using cutting-edge technology, creative problem-solving, and business insight.

With extensive experience in both hardware and software product development, Gad has led teams from ideation to market, emphasizing meaningful technology. He uses storytelling to connect technology with people, highlighting the interplay between user experience, innovation, and consumer brands.

Gad has a history of pioneering new user experiences. At N-trig, he introduced digital writing technologies that led to its acquisition by Microsoft for the Surface portfolio. At PointGrab, he integrated computer vision solutions into devices by Samsung, TCL, and Lenovo. Prior to Intuition Robotics, he led marketing and strategic partnerships at Audioburst and mentors startups at Techstars Barclays Accelerator in Tel Aviv. He also held leadership roles at Powermat Technologies, modu Mobile, and Telmap Ltd (acquired by Intel). Gad holds a BSc. in Computer Science from The Interdisciplinary Center Herzliya.

Assaf Gad

Chief Strategy Officer & GM
Intuition Robotics

Assaf Gad is the Chief Strategy Officer and General Manager at Intuition Robotics, focusing on bridging the gap between technology and real-world challenges, particularly for vulnerable populations. A seasoned product leader, Gad's career is driven by a passion for creating innovative user experiences using cutting-edge technology, creative problem-solving, and business insight.

With extensive experience in both hardware and software product development, Gad has led teams from ideation to market, emphasizing meaningful technology. He uses storytelling to connect technology with people, highlighting the interplay between user experience, innovation, and consumer brands.

Gad has a history of pioneering new user experiences. At N-trig, he introduced digital writing technologies that led to its acquisition by Microsoft for the Surface portfolio. At PointGrab, he integrated computer vision solutions into devices by Samsung, TCL, and Lenovo. Prior to Intuition Robotics, he led marketing and strategic partnerships at Audioburst and mentors startups at Techstars Barclays Accelerator in Tel Aviv. He also held leadership roles at Powermat Technologies, modu Mobile, and Telmap Ltd (acquired by Intel). Gad holds a BSc. in Computer Science from The Interdisciplinary Center Herzliya.

Author:

Shreya Singhal

Generative AI Research & Development
Aristocrat Gaming

Shreya Singhal works in Generative AI Research & Development at Aristocrat Gaming and is a Graduate Research Assistant at the University of Texas at Austin. Her work spans large language models (LLMs), reinforcement learning, and optimization for scalable and interpretable AI systems.

 

Shreya has hands-on experience fine-tuning open-source models like Gemma 2B for under-resourced languages, deploying compressed generative models in low-resource environments, and implementing bias and fairness evaluation pipelines using interpretable subspace analysis. She has previously worked at Dell Technologies, Charles Schwab, Deloitte, and Accenture, contributing to AI-powered solutions across gaming, finance, and enterprise automation.

 

Her current research focuses on efficient LLM training and evaluation pipelines, fairness-aware model design, and bringing generative AI to edge and enterprise use cases. She is passionate about making AI more inclusive, scalable, and grounded in real-world constraints.

 

Shreya Singhal

Generative AI Research & Development
Aristocrat Gaming

Shreya Singhal works in Generative AI Research & Development at Aristocrat Gaming and is a Graduate Research Assistant at the University of Texas at Austin. Her work spans large language models (LLMs), reinforcement learning, and optimization for scalable and interpretable AI systems.

 

Shreya has hands-on experience fine-tuning open-source models like Gemma 2B for under-resourced languages, deploying compressed generative models in low-resource environments, and implementing bias and fairness evaluation pipelines using interpretable subspace analysis. She has previously worked at Dell Technologies, Charles Schwab, Deloitte, and Accenture, contributing to AI-powered solutions across gaming, finance, and enterprise automation.

 

Her current research focuses on efficient LLM training and evaluation pipelines, fairness-aware model design, and bringing generative AI to edge and enterprise use cases. She is passionate about making AI more inclusive, scalable, and grounded in real-world constraints.

 

Author:

Vinesh Sukumar

VP of Product Management for AI
Qualcomm

Vinesh Sukumar currently serves as VP of Product Management for AI at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Vinesh Sukumar

VP of Product Management for AI
Qualcomm

Vinesh Sukumar currently serves as VP of Product Management for AI at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Author:

Nikhil Tyagi

Senior Manager, Wireless Device Innovation Strategy
Verizon

Nikhil Tyagi is a recognized leader in next-generation technology, with a proven track record at the intersection of AI infrastructure, wireless innovation, and immersive computing. As Senior Manager of Wireless Device Innovation at Verizon, he leads strategic initiatives for breakthrough device categories that integrate AI, XR (AR/VR), and advanced connectivity.

Previously, Nikhil held key roles at Humane, Meta, and Apple, where he helped shape pioneering AI and XR experiences—from developing on-device intelligence for ambient computing, to architecting scalable XR systems and wearable platforms. His cross-functional expertise spans edge AI, spatial computing, and system-level wireless design, making him a pivotal voice in the evolving landscape of AI-driven interfaces."

Nikhil Tyagi

Senior Manager, Wireless Device Innovation Strategy
Verizon

Nikhil Tyagi is a recognized leader in next-generation technology, with a proven track record at the intersection of AI infrastructure, wireless innovation, and immersive computing. As Senior Manager of Wireless Device Innovation at Verizon, he leads strategic initiatives for breakthrough device categories that integrate AI, XR (AR/VR), and advanced connectivity.

Previously, Nikhil held key roles at Humane, Meta, and Apple, where he helped shape pioneering AI and XR experiences—from developing on-device intelligence for ambient computing, to architecting scalable XR systems and wearable platforms. His cross-functional expertise spans edge AI, spatial computing, and system-level wireless design, making him a pivotal voice in the evolving landscape of AI-driven interfaces."

Author:

Pyungsu Han

VP & CTO
Qualitas Semiconductor

Pyungsu Han is the Vice President and CTO of R&D at Qualitas Semiconductor.
He holds a Ph.D. from Yonsei University and previously worked at LG Electronics.
With deep expertise in high-speed interconnect technology, he leads cutting-edge R&D initiatives and drives strategic growth in the semiconductor industry.

Pyungsu Han

VP & CTO
Qualitas Semiconductor

Pyungsu Han is the Vice President and CTO of R&D at Qualitas Semiconductor.
He holds a Ph.D. from Yonsei University and previously worked at LG Electronics.
With deep expertise in high-speed interconnect technology, he leads cutting-edge R&D initiatives and drives strategic growth in the semiconductor industry.

Autonomy
On-Device ML
Enterprise Use Case
Industrial Edge

Author:

Sean Ma

Head of Applied AI, Amazon Dash Cart
AWS

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. 

Sean Ma

Head of Applied AI, Amazon Dash Cart
AWS

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.