Edge AI | Page 2 | Kisaco Research

Edge AI

Autonomy
On-Device ML
Compute
Industrial Edge

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.

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. 

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.

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.

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.