Enterprise AI | Kisaco Research

Enterprise AI

Data Privacy & Governance
Software Infra

Author:

Aswini Atibudhi

Distinguished Architect
Walmart

Aswini is a Distinguished Architect at Walmart Global Tech, with over 22 years of IT experience in designing scalable AI/ML, micro frontend, microservices, and cloud applications. His professional expertise encompasses diverse domains including  e-commerce, finance, telecom and healthcare meticulously developed through his tenure at Walmart, Cisco, Equinix, Finastra, and TCS. Over seven years at Walmart, he has been a founding member of critical platforms like Last Mile Delivery, Fleet Management, MerchOne, Supplier Portal and several others. As a recognized expert in generative AI, Aswini specializes in leveraging machine learning and large language models to create transformative digital experiences, including personalized content generation and AI-driven customer engagement.

He has received numerous awards including Walmart’s Innovation Award, Equinix’s Top Performer Award, and Cisco’s Group Race Award. With many certifications in AI, machine learning, and cloud technologies, he stays at the forefront of innovation. Known for his strategic insights, Aswini has a proven ability to deliver transformative AI solutions across industries. 

Aswini Atibudhi

Distinguished Architect
Walmart

Aswini is a Distinguished Architect at Walmart Global Tech, with over 22 years of IT experience in designing scalable AI/ML, micro frontend, microservices, and cloud applications. His professional expertise encompasses diverse domains including  e-commerce, finance, telecom and healthcare meticulously developed through his tenure at Walmart, Cisco, Equinix, Finastra, and TCS. Over seven years at Walmart, he has been a founding member of critical platforms like Last Mile Delivery, Fleet Management, MerchOne, Supplier Portal and several others. As a recognized expert in generative AI, Aswini specializes in leveraging machine learning and large language models to create transformative digital experiences, including personalized content generation and AI-driven customer engagement.

He has received numerous awards including Walmart’s Innovation Award, Equinix’s Top Performer Award, and Cisco’s Group Race Award. With many certifications in AI, machine learning, and cloud technologies, he stays at the forefront of innovation. Known for his strategic insights, Aswini has a proven ability to deliver transformative AI solutions across industries. 

Software Infra

Author:

Ankur Mehrotra

GM, SageMaker AI
AWS

Ankur Mehrotra is a GM at AWS Machine Learning and leads foundational SageMaker AI services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker AI, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.

Ankur Mehrotra

GM, SageMaker AI
AWS

Ankur Mehrotra is a GM at AWS Machine Learning and leads foundational SageMaker AI services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker AI, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.

Optimized Infrastructure
Gen AI
Agentic AI

Author:

Jeongkyu Shin

CEO
Lablup

Jeongkyu Shin is the founder of Lablup Inc. and has made significant contributions to open-source projects over the past two decades, including his lead developer role in the Textcube Project. He has served as an AI expert at Google Developers Experts since 2017 and was active in the Innovative Steering Board of the Northeast Asia Open Source Software Promotion Forum until 2022. In recognition of his contributions to the technology industry, he was awarded the prestigious Industrial Service Medal by the Korean government in 2024. Additionally, Jeongkyu supports startup companies as a technical mentor at Google for Startups Accelerator.

He holds a Ph.D. in Statistical Physics from POSTECH, where his research focused on complex systems, agent-based models, and computational neuroscience. Throughout his career, Jeongkyu has led machine learning and open-source projects in various companies and labs, specializing in text classification, entropy-related information compression, and contextual search. Since 2015, he has been developing Backend.AI, an open-source, hyper-scalable AI infrastructure platform (available at https://www.backend.ai).

Jeongkyu Shin

CEO
Lablup

Jeongkyu Shin is the founder of Lablup Inc. and has made significant contributions to open-source projects over the past two decades, including his lead developer role in the Textcube Project. He has served as an AI expert at Google Developers Experts since 2017 and was active in the Innovative Steering Board of the Northeast Asia Open Source Software Promotion Forum until 2022. In recognition of his contributions to the technology industry, he was awarded the prestigious Industrial Service Medal by the Korean government in 2024. Additionally, Jeongkyu supports startup companies as a technical mentor at Google for Startups Accelerator.

He holds a Ph.D. in Statistical Physics from POSTECH, where his research focused on complex systems, agent-based models, and computational neuroscience. Throughout his career, Jeongkyu has led machine learning and open-source projects in various companies and labs, specializing in text classification, entropy-related information compression, and contextual search. Since 2015, he has been developing Backend.AI, an open-source, hyper-scalable AI infrastructure platform (available at https://www.backend.ai).

Author:

Ankur Mehrotra

GM, SageMaker AI
AWS

Ankur Mehrotra is a GM at AWS Machine Learning and leads foundational SageMaker AI services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker AI, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.

Ankur Mehrotra

GM, SageMaker AI
AWS

Ankur Mehrotra is a GM at AWS Machine Learning and leads foundational SageMaker AI services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker AI, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.

Data Privacy & Governance
Enterprise Use Case

Author:

Anusha Nerella

AI & FinTech Innovator
State Street

Anusha Nerella is an award-winning AI and fintech innovator known for her original contributions in transforming institutional trading and digital finance. She has pioneered AI-driven trading strategies, real-time big data systems, and automation frameworks that have redefined how financial institutions operate. Anusha’s innovations—from modernizing Barclaycard’s digital payments infrastructure during COVID-19 to architecting intelligent trading models—have driven measurable impact, earning her recognition as a thought leader shaping the future of AI-powered finance.

Anusha Nerella

AI & FinTech Innovator
State Street

Anusha Nerella is an award-winning AI and fintech innovator known for her original contributions in transforming institutional trading and digital finance. She has pioneered AI-driven trading strategies, real-time big data systems, and automation frameworks that have redefined how financial institutions operate. Anusha’s innovations—from modernizing Barclaycard’s digital payments infrastructure during COVID-19 to architecting intelligent trading models—have driven measurable impact, earning her recognition as a thought leader shaping the future of AI-powered finance.

Data Privacy & Governance
Enterprise Use Case

Author:

Michael McLaughlin

Head of AI ML and Advanced Analytics
Children's National Hospital

Mike is the Head of AI/ML & Advanced Analytics at the Children’s National Hospital in Washington DC. At Children’s he leads the team responsible for developing, monitoring, and maintaining custom AI/ML applications in addition to driving AI governance and upskilling initiatives. He’s spent his entire career in the healthcare industry emphasizing AI and advanced analytics. His prior roles include leadership roles at Monogram Health, Exact Sciences, and Elevance.

Michael McLaughlin

Head of AI ML and Advanced Analytics
Children's National Hospital

Mike is the Head of AI/ML & Advanced Analytics at the Children’s National Hospital in Washington DC. At Children’s he leads the team responsible for developing, monitoring, and maintaining custom AI/ML applications in addition to driving AI governance and upskilling initiatives. He’s spent his entire career in the healthcare industry emphasizing AI and advanced analytics. His prior roles include leadership roles at Monogram Health, Exact Sciences, and Elevance.

Data Privacy & Governance

Author:

Rohith Vangalla

Lead Software Engineer
Optum

Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.

Rohith Vangalla

Lead Software Engineer
Optum

Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.