Prof. Ts. Ir. Dr. Mohamad Fahmi Bin Hussin
Associate Professor • Chartered Engineer (IET, UK) • Professional Technologist (MBOT)
Mohamad Fahmi Hussin graduated with BEng (Hons) in Electrical (Electronics) from Universiti Teknologi MARA (2004), MSc in Optoelectronics & Communication Systems Engineering from Northumbria University (2006), and a PhD in Engineering (Safety) from the University of Aberdeen (2012). He has served UiTM since 2006, previously as Head of Department (Communication Engineering) and Deputy Dean (Student Affairs). He is a Chartered Engineer (IET UK), Professional Technologist (MBOT) since 2018, and a Certified Psychological First Aider Trainer (United Nations University). He has published 30+ peer-reviewed journals with research funding exceeding RM2 million; H-Index: 11.
Mr. Chetan Dixit
Vice President at KDEM
Chetan Dixit, based in Bengaluru, KA, IN, is currently a Vice President - Beyond Bengaluru at Karnataka Digital Economy Mission (KDEM). Chetan Dixit brings experience from previous roles at Karnataka Digital Economy Mission (KDEM), KPMG India and Public Affairs Centre - India. Chetan Dixit holds a 2015 - 2017 Master of Public Policy in Public Policy @ National Law School of India University. With a robust skill set that includes Strategy, Leadership, Market Research, Entrepreneurship, Project Management.
Ravichandra Namburi
Vice President of Software Engineering at JP Morgan Chase
Ravichandra Namburi is a visionary technology leader with over 12 years of progressive experience in architecting large-scale distributed systems, driving digital transformation, and leading high-performing software engineering teams in the financial services and automotive sectors.
Ravichandra Namburi currently serves as Vice President of Software Engineering at JP Morgan Chase (since May 2022), where he leads engineering teams in designing and delivering mission-critical financial technology solutions. In prior roles at JP Morgan Chase, he advanced from Lead Software Engineer (Distributed Systems Engineering, 2020–2022) to Lead Software Engineer (2017–2020), directing major initiatives including the architecture of a predictive analytics platform (Card Forecast Model) processing billions of transactions, migrating legacy messaging systems to RabbitMQ and Kafka, implementing high-availability strategies, and championing DevOps transformations with CI/CD pipelines.
Earlier in his career, he held key engineering positions at Toyota Connected (Software Engineer, 2017), Toyota (Lead Developer, 2016–2017), and Sears Home Services & Sears Holdings Corporation (Software Engineer, 2014–2016). Involved in building global vehicle tracking systems, accessory management platforms, scheduling/communication tools, and enterprise content management solutions using cloud-native, microservices, and event-driven architectures.
Holds a Master of Science in Information Systems from Illinois State University (Normal, IL) and a Bachelor of Technology in Computer Science from Sri Vasavi Engineering College (JNTUK), India.
He is expert in Java/Spring Boot, AWS/Azure cloud platforms, Kafka/RabbitMQ messaging, DevOps practices (Jenkins, Terraform, Kubernetes), and performance optimization. Excels at strategic technology leadership, team building, cross-functional collaboration, and delivering scalable, resilient solutions that drive business value.
Specialized knowledge in agentic AI, machine learning, and modern AI architectures. This includes designing autonomous, goal-oriented AI systems powered by Retrieval-Augmented Generation (RAG)—which grounds large language models with real-time external knowledge to reduce hallucinations and improve accuracy—and the Model Context Protocol (MCP), a standardized open protocol (often described as “USB-C for AI”) that enables secure, seamless integration of LLMs with external tools, data sources, databases, and workflows. Combined with machine learning techniques, these capabilities allow him to build intelligent, adaptive, and scalable solutions that drive predictive analytics, automated decision-making, and enterprise-grade AI innovation.
Sai Kumar Gunda
Software Quality Assurance & User Acceptance Testing Professional
Sai Kumar Gunda is a Software Quality Assurance and User Acceptance Testing (UAT) professional with over 10 years of experience in banking and financial technology. He currently works with Tata Consultancy Services (TCS) for Citi Bank, USA, where he leads User Acceptance Testing for ATM modernization projects, ensuring secure, reliable, and compliant banking systems.
Before joining Citi Bank, he worked on Anti-Money Laundering (AML) testing for HSBC, focusing on transaction monitoring, regulatory compliance, customer due diligence, and fraud detection. He also worked with Tech Mahindra on financial services projects involving fund transfers, FATCA compliance, customer identity verification, and investment processing.
He holds a master’s degree in Information Technology and Management from Concordia University, St. Paul, Minnesota, USA, and is currently pursuing a PhD in Information Technology with a focus on Artificial Intelligence. He holds the ISTQB Foundation Level certification and is an IEEE Member. His expertise includes Software Quality Assurance, User Acceptance Testing (UAT), Automation Testing, Banking Systems, ATM Technologies, AML Compliance, Functional Testing, Selenium, Java, TestNG, JIRA, Zephyr, and Splunk.
Sai Kumar serves as a reviewer for several reputed international journals and regularly evaluates research manuscripts in the areas of Artificial Intelligence, Software Engineering, Cybersecurity, Data Science, and Information Systems. His research interests include AI-assisted software testing, intelligent automation, machine learning applications in software quality, financial technologies, and secure digital banking systems.
As a keynote speaker, Sai Kumar enjoys sharing practical industry experience, emerging trends, and research-driven insights that bridge academia and industry. His sessions focus on Artificial Intelligence, Software Quality Engineering, Test Automation, Banking Technologies, and the future of intelligent software systems.
Gunjit Chatwal
Senior Software Engineer, Microsoft Corp., USA
Technical leader with 17+ years of experience spanning software engineering, architecture, product delivery, and people leadership, with deep expertise in US healthcare interoperability. Combines hands-on cloud engineering with AI-augmented ways of working to accelerate architecture discovery, design, code review, documentation, compliance, and operational decision-making. Proven record of leading multidisciplinary teams through complex product launches, certifications, and production-scale modernization.
Rethish Nair Rajendran
Technical Delivery Manager, Unisys Corporation
Rethish Nair Rajendran is a Senior IT Delivery and Project Manager with over 20 years of experience directing large-scale infrastructure, cloud, and software development initiatives across the banking and government sectors. He possesses a proven track record of leading complex, first-of-their-kind digital modernization projects and managing cross-functional, global teams through the entire technology lifecycle.
Beyond his enterprise leadership, Rethish is an active independent researcher and an IEEE Senior Member who frequently evaluates peer research as an expert judge for international scientific work. His comprehensive technical expertise in cybersecurity, network infrastructure, and emerging technologies is well-complemented by a strong portfolio of published papers in prestigious IEEE and Springer publications.
Vineela Gudapati
Software Development Engineer at Amazon Web Services (AWS)
Vineela Gudapati is a Software Development Engineer at Amazon Web Services (AWS), working with the Amazon Elastic Kubernetes Service (Amazon EKS) team. She contributes to operator-driven capabilities within Amazon EKS Auto Mode, with a focus on building scalable, reliable, and highly available cloud-native infrastructure. Her technical expertise spans Kubernetes, distributed systems, cloud infrastructure, controllers and operators, control-loop architectures, scalability, and system reliability. Her technical interests center on advancing intelligent and resilient Kubernetes systems, including proactive failure prevention, autonomous controller coordination, adaptive reconciliation, workload scheduling, and efficient resource management. Through her work at AWS, she focuses on solving complex infrastructure challenges and developing reliable cloud-native systems capable of operating efficiently at scale.