Edge AI | Page 2 | Kisaco Research

Edge AI

Autonomy
On-Device ML
Enterprise Use Case
Industrial Edge

Author:

Shreya Singhal

Applied Generative AI Research Scientist
Claritev

Shreya Singhal is an Applied Generative AI Research Scientist at Claritev, where she works on building and optimizing large-scale AI systems with a focus on LLMs, multimodal models, and AI agents. She holds a Master’s in Computer Science from the University of Texas at Austin and has prior experience across industry and research roles at organizations such as Dell Technologies, Charles Schwab, and IIIT Hyderabad. Her work spans retrieval-augmented generation, prompt engineering, and deploying production-grade AI pipelines, with a passion for advancing the infrastructure that powers generative AI.

Shreya Singhal

Applied Generative AI Research Scientist
Claritev

Shreya Singhal is an Applied Generative AI Research Scientist at Claritev, where she works on building and optimizing large-scale AI systems with a focus on LLMs, multimodal models, and AI agents. She holds a Master’s in Computer Science from the University of Texas at Austin and has prior experience across industry and research roles at organizations such as Dell Technologies, Charles Schwab, and IIIT Hyderabad. Her work spans retrieval-augmented generation, prompt engineering, and deploying production-grade AI pipelines, with a passion for advancing the infrastructure that powers generative AI.

Running workloads on the edge means operating with a finite amount of compute resources, which means that running workloads as lightweight as possible is generally preferable. In contrast, securely operating workloads in the cloud often means spinning up additional virtual machines for strong workload isolation. On the edge, this strategy is often not feasible. This talk covers how you can securely run containers in lightweight Kubernetes clusters on the edge entirely without the need for virtualization. This talk will cover different hardening approaches and compare them with special focus on securing AI workloads on the edge.

Autonomy
On-Device ML
Compute
Industrial Edge

Author:

Lukas Gentele

CEO
vCluster Labs

Lukas Gentele is the CEO & Co-Founder of vCluster Labs, a venture-backed startup virtualizing Kubernetes to enable advanced tenancy models to increase utilization, reduce cost and make Kubernetes more dynamic than ever. vCluster enables platform and infra teams to create virtual Kubernetes clusters which are as scalable and isolated as traditional clusters but much more lightweight and versatile. Trusted by companies such as CoreWeave, Nscale, Adobe, and Deloitte, vCluster enables organizations to create fully isolated tenant clusters on any infrastructure, from public cloud to private clouds all the way to AI supercomputers powered by the latest GPUs. Lukas has been a keynote speaker and presenter at events such as KubeCon, DevOpsDays, ContainerConf, as well as at AWS and Kubernetes Community Days around the world.

Lukas Gentele

CEO
vCluster Labs

Lukas Gentele is the CEO & Co-Founder of vCluster Labs, a venture-backed startup virtualizing Kubernetes to enable advanced tenancy models to increase utilization, reduce cost and make Kubernetes more dynamic than ever. vCluster enables platform and infra teams to create virtual Kubernetes clusters which are as scalable and isolated as traditional clusters but much more lightweight and versatile. Trusted by companies such as CoreWeave, Nscale, Adobe, and Deloitte, vCluster enables organizations to create fully isolated tenant clusters on any infrastructure, from public cloud to private clouds all the way to AI supercomputers powered by the latest GPUs. Lukas has been a keynote speaker and presenter at events such as KubeCon, DevOpsDays, ContainerConf, as well as at AWS and Kubernetes Community Days around the world.

Autonomy
Robotics
On-Device ML
Enterprise Use Case
Industrial Edge
Panelists

Author:

Joji Philip

Director, AI & ML Products
Ericsson

Joji Philip

Director, AI & ML Products
Ericsson

Author:

Krishna Rangasayee

Founder and CEO
SiMa.ai

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.

Krishna Rangasayee

Founder and CEO
SiMa.ai

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.

Author:

Ian Anderson

VP, AI
Glance AI

Ian Anderson

VP, AI
Glance AI
Moderator

Author:

Paul Karazuba

VP of Marketing
Expedera

Paul is Vice President of Marketing at Expedera, a leading provider of AI Inference NPU semiconductor IP. He brings a talent for transforming new technology into products that excite customers. Previously, Paul was VP Marketing at PLDA, specializing in high-speed interconnect IP, until its acquisition by Rambus. Before PLDA, he was Senior Director of Marketing at Rambus. Paul brings more than 25 years of marketing experience including Quicklogic, Aptina (Micron), and others. He holds a BS in Management and Marketing from Manhattan College.

 

Paul Karazuba

VP of Marketing
Expedera

Paul is Vice President of Marketing at Expedera, a leading provider of AI Inference NPU semiconductor IP. He brings a talent for transforming new technology into products that excite customers. Previously, Paul was VP Marketing at PLDA, specializing in high-speed interconnect IP, until its acquisition by Rambus. Before PLDA, he was Senior Director of Marketing at Rambus. Paul brings more than 25 years of marketing experience including Quicklogic, Aptina (Micron), and others. He holds a BS in Management and Marketing from Manhattan College.

 

Autonomy
Robotics
On-Device ML
Enterprise Use Case

Author:

Eliana Stefani

Staff Autonomy & AI Research Engineer
Lockheed Martin

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. 

Eliana Stefani

Staff Autonomy & AI Research Engineer
Lockheed Martin

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. 

The generative AI revolution presents a dilemma: the best models are in the cloud, but your data is on-prem due to sovereignty, security, or latency needs. This makes on-prem AI complex and costly. This session explores how Google Distributed Cloud (GDC) solves this by bringing a managed platform with Google's best AI—including Gemini and Vertex—to your environment. Learn how GDC's flexible connected and air-gapped solutions  are empowering defense, finance, and other critical industries to securely unlock their data.

Industrial Edge
On-Device ML
Optimized Infrastructure

Author:

Andrew Fetterer

Group Product Manager
Google Cloud

A seasoned product leader who is passionate about cloud and innovation , Andrew Fetterer serves as the Group Product Manager for Google Distributed Cloud. In this role, he is responsible for the outbound product management that shapes how Google Cloud infrastructure operates on-premises and at the edge for the world's leading organizations.

Throughout his career, Andrew has a proven track record of building and scaling platforms and infrastructure from concept to category leadership.

Andrew Fetterer

Group Product Manager
Google Cloud

A seasoned product leader who is passionate about cloud and innovation , Andrew Fetterer serves as the Group Product Manager for Google Distributed Cloud. In this role, he is responsible for the outbound product management that shapes how Google Cloud infrastructure operates on-premises and at the edge for the world's leading organizations.

Throughout his career, Andrew has a proven track record of building and scaling platforms and infrastructure from concept to category leadership.

Author:

David Geddam

Sr. AI Advisor & Chief AI Architect
World Wide Technology

David Geddam is a Senior AI Advisor and Chief AI Architect  with Global Solutions and Architecture group at World Wide Technology, with 25+ years of experience in AI, healthcare tech, and enterprise solutions background. He’s held key roles at Kaiser Permanente, GE Healthcare, Philips, IBM Watson Imaging, and multiple startups. David holds degrees in Biomedical Engineering and Healthcare Technology and specializes in AI including Agentic frameworks + Gen AI, Cloud computing, NLP, Computer vision, and Real-time Inferencing+ Guidance and Navigation. On the hobbies front, he plays competitive Tennis and Soccer in St. Louis.

David Geddam

Sr. AI Advisor & Chief AI Architect
World Wide Technology

David Geddam is a Senior AI Advisor and Chief AI Architect  with Global Solutions and Architecture group at World Wide Technology, with 25+ years of experience in AI, healthcare tech, and enterprise solutions background. He’s held key roles at Kaiser Permanente, GE Healthcare, Philips, IBM Watson Imaging, and multiple startups. David holds degrees in Biomedical Engineering and Healthcare Technology and specializes in AI including Agentic frameworks + Gen AI, Cloud computing, NLP, Computer vision, and Real-time Inferencing+ Guidance and Navigation. On the hobbies front, he plays competitive Tennis and Soccer in St. Louis.

Industrial Edge
On-Device ML
Compute

Author:

Aniruddha Maru

VP, Infrastructure
Standard AI

Maru is a seasoned DevOps engineer with over 15 years of experience architecting solutions that scale. He currently leads the Infrastructure team at Standard AI, where he orchestrates hybrid infrastructure that powers cutting-edge machine-learning workloads that are reshaping retail.

After earning bachelor’s and master’s degrees in Computer Science from Indian Institute of Technology (IIT) Bombay, Maru has conquered diverse tech stacks throughout his career - from desktop and mobile applications to 
large scale distributed systems. Over his decade-plus journey through the startup ecosystem, he's delivered breakthrough solutions including smart car IoT devices, intelligent music learning platforms, and autonomous checkout systems. Maru gravitated towards the DevOps culture, finding a passion for scalable cloud-native technologies and continuous delivery of AI workloads.

Aniruddha Maru

VP, Infrastructure
Standard AI

Maru is a seasoned DevOps engineer with over 15 years of experience architecting solutions that scale. He currently leads the Infrastructure team at Standard AI, where he orchestrates hybrid infrastructure that powers cutting-edge machine-learning workloads that are reshaping retail.

After earning bachelor’s and master’s degrees in Computer Science from Indian Institute of Technology (IIT) Bombay, Maru has conquered diverse tech stacks throughout his career - from desktop and mobile applications to 
large scale distributed systems. Over his decade-plus journey through the startup ecosystem, he's delivered breakthrough solutions including smart car IoT devices, intelligent music learning platforms, and autonomous checkout systems. Maru gravitated towards the DevOps culture, finding a passion for scalable cloud-native technologies and continuous delivery of AI workloads.

Discover how to overcome barriers at the edge, enabling the deployment of advanced AI models with lower costs and reduced power consumption across a range of devices and professional use cases.

Industrial Edge
On-Device ML
Gen AI

Author:

Manuel Botija

VP, Product Management
Axelera

Manuel Botija is an engineer with degrees from Telecom Paris and Universidad Politécnica de Madrid. Over the past 17 years, he has led product innovation in semiconductor startups across Silicon Valley and Europe. Before joining Axelera, Manuel served as Head of Product at GrAI Matter Labs, which was acquired by Snap Inc.

Manuel Botija

VP, Product Management
Axelera

Manuel Botija is an engineer with degrees from Telecom Paris and Universidad Politécnica de Madrid. Over the past 17 years, he has led product innovation in semiconductor startups across Silicon Valley and Europe. Before joining Axelera, Manuel served as Head of Product at GrAI Matter Labs, which was acquired by Snap Inc.

Industrial Edge
On-Device ML
Optimized Infrastructure

Author:

Erim Sezer

Director, Data Enablement & Digitization
Bayer

Erim Sezer

Director, Data Enablement & Digitization
Bayer

Author:

Heath Blandford

Senior Solutions Engineer
Edge Impulse, a Qualcomm company

Heath is a Senior Solutions Engineer at Edge Impulse, working to help customers bring enterprise grade AI to the Edge to solve real world problems. In his spare time, Heath enjoys training for ultra-endurance races, backpacking, and watching Formula 1.

Heath Blandford

Senior Solutions Engineer
Edge Impulse, a Qualcomm company

Heath is a Senior Solutions Engineer at Edge Impulse, working to help customers bring enterprise grade AI to the Edge to solve real world problems. In his spare time, Heath enjoys training for ultra-endurance races, backpacking, and watching Formula 1.

Author:

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Author:

Anil Ravindranath

Founder & CTO
rapt AI

Anil Ravindranath is Founder & CTO of rapt.ai where he leads the team building next gen Agentic-AI automation platform for GPUs. He is an industry veteran with over 20 years of experience in building enterprise products, and previously worked as Technical Director at Data Domain/EMC. Anil worked in system architecture, storage, data mgmt., scheduler algorithms, virtualization and apply heuristics for workload mgmt. and system efficiency. Anil has been granted with over 15 patents.

Anil Ravindranath

Founder & CTO
rapt AI

Anil Ravindranath is Founder & CTO of rapt.ai where he leads the team building next gen Agentic-AI automation platform for GPUs. He is an industry veteran with over 20 years of experience in building enterprise products, and previously worked as Technical Director at Data Domain/EMC. Anil worked in system architecture, storage, data mgmt., scheduler algorithms, virtualization and apply heuristics for workload mgmt. and system efficiency. Anil has been granted with over 15 patents.

Moderator

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.