Ashwin Das Gururaja
Senior Engineering Manager, Adobe
Distinguished Fellow of SCRS (Society for Communication and Research in Science). He has been a speaker and judge at several international conferences on AI, payments, and fraud defense, including MRC San Diego 2025, IEEE AIC 2025, and the Fraud & Payment Leaders Summit Miami 2025. He currently leads global teams at Adobe, focusing on building and scaling payments and risk platforms to enhance security and efficiency in digital transactions.
Vishwas Bommakanti
Software Engineer III at Google
As a Software Engineer at Google, he focuses on developing and maintaining hyper-scale Data Center Infrastructure—the backbone supporting workloads for advanced AI systems, including Gemini. His expertise spans large-scale infrastructure and the Finance Industry, where he previously contributed to marketing applications at Interactive Brokers. He holds an M.S. in Computer Science from Stony Brook University and actively hones his technical acumen by participating in hackathons that explore emerging industry innovations.
Kiran Siddeshwar
Senior Data Analyst, Meta
Kiran has built a diverse and impactful career spanning multiple industries — from an automotive giant and a big tech company to a battery startup, a consulting firm, and a medical devices company. Throughout this journey, he has tackled complex challenges such as hardware performance optimization, battery health monitoring, and data center hardware quality enhancement. Beyond his technical expertise, Kiran has also driven strategic initiatives — creating new service lines in consulting, pitching ideas to venture capitalists, and contributing to business innovation. Having worked across 15 countries, he brings a truly global perspective to problem-solving.
Harshavardhan Kakarla
System Development Engineer II, Amazon
Harshavardhan Kakarla is a System Development Engineer II at Amazon with over three years of experience in building scalable systems for global seller payments. He holds a Master’s in Cybersecurity Engineering from the University of Washington and a B.E. in Computer Science from BMSCE. Previously, he interned at Ellucian, developing automation tools to streamline testing and reporting.
Trisha Banerjee
Data Engineer, Amazon Web Services (AWS)
Trisha is a Data Engineer at Amazon Web Services with a Master's degree in Data Science from the University of Washington, Seattle. Her journey began as a Chemical Engineering student at BMSCE interning at HPCL, which inspired her shift to data. She later worked at Deloitte as a Data Engineer and during her Master's, she worked at Accelerate and Astrolabe Analytics. From education policy to finance, batteries, and chemical systems, she’s explored how data can power ideas and make things work smarter.
Shiva Sankeerth Reddy Yarradla
Founding ML Research Engineer, Brevian AI
Shiva is an ML Research Engineer at Brevian AI, where he builds next-generation GenAI and Agentic systems that push the boundaries of how intelligence can be productized at scale. His work focuses on developing robust evaluation frameworks and designing high-impact AI pipelines that drive performance, reliability, and scale.
Akhil Eppa
Machine Learning Engineer, Adobe
Akhil earned a Master’s degree from Carnegie Mellon University (CMU) and is currently working as a Machine Learning Engineer at Adobe. He contributes to the productionization of GenAI applications and Agentic applications, focusing on improving LLM output quality, developing evaluation methods, and experimenting with innovative approaches.
Sahil Mutha
Software Developer at Amazon (Seattle)
Sahil is a tech enthusiast passionate about solving problems through innovative solutions, with experience in Software Development, Artificial Intelligence, Web Development, Data Science, and Data Modelling. As a Founder and Software Developer for two years, he has built and delivered scalable, autonomous software solutions while gaining deep insights into the startup ecosystem. He also interned at Pune-based AI-Adventures, where he strengthened his skills in Data Science, Machine Learning, and Project Management.
Shreyas Srinivas Joshi
Independent Researcher, USA
Engineer with extensive research experience in Machine Learning, Computer Vision, and Deep Learning. He has worked on multiple independent research projects exploring advanced AI methodologies and their practical applications. His work reflects a deep understanding of both theoretical and applied aspects of these domains, contributing to innovative developments in the field of artificial intelligence.
Aniruddha Srinivas Joshi
Independent Researcher, USA
Industry expert with a proven track record in Artificial Intelligence, Machine Learning, Cybersecurity, and Extended Reality innovation. He has successfully led and contributed to multiple high-impact projects, driving technological advancements and implementing innovative solutions across these domains. His work demonstrates a strong ability to bridge cutting-edge research with practical applications in the industry.
Karthik Ramanathan
Senior Software Engineer, Yugabyte
Karthik is a Senior Software Engineer at Yugabyte, where he builds scalable, distributed SQL systems with a focus on query optimization, correctness, and performance. Previously, he was part of the CMU-DB Group at Carnegie Mellon University, researching database systems, and worked on cloud and storage technologies at Nutanix and HPE. He is passionate about creating the next generation of databases and computer systems to power modern AI applications.
Rakesh Pullayikodi
Principal Engineer Software, Palo Alto Networks
Rakesh is a Principal Software Engineer at Palo Alto Networks in Dublin, California. A versatile generalist, he brings expertise in data engineering, cybersecurity, and scalable software development. Skilled in building systems from concept to scale, he blends innovation with reliability. Previously part of Walmart’s Information Security team, he gained strong experience in secure, data-focused solutions. An alumnus of UC Berkeley Extension, Rakesh combines technical depth with strategic thinking to create impactful, security-driven systems.
Sunny Jaiswal
United Nation Development Program (UNDP) as Oracle HCM Cloud Solution Architect
Sunny is a Solutions Architect at the United Nations Development Programme (UNDP), where he leads initiatives to transform HR systems using Oracle Cloud technology. His work focuses on implementing solutions across recruiting, talent management, and core HR areas to improve efficiency and enhance the employee experience. Based in Edison, New Jersey, Sunny earned his degree from Western Governors University and is passionate about leveraging technology to drive innovation and organizational growth.
Akhil Raveendran
Software Engineer,
Google
Akhil Raveendran is a Software Engineer at Google, with extensive experience working across multiple teams at Google on cutting-edge technologies. His career spans developing scalable backend systems, building data-driven platforms, and contributing to innovative products that serve millions of users worldwide.
He holds a Master’s degree in Software Engineering with a specialization in Data Science, which deepened his expertise in algorithms, analytics, and the growing applications of Artificial Intelligence. At Google, he has worked on projects that bring together large-scale infrastructure, data systems, and AI-driven insights to create real impact for developers and businesses.
Tiruvedula Mithun
Software Engineer 2 at Honeywell International, Richmond VA, USA
He is leading AI efforts and a team for connected buildings at Tridium, Honeywell. With a Master of Science in Machine Learning from the University of Southern California (USC), he has published three patents along with multiple research papers and articles. In addition to his professional achievements, he has also built and mentored multiple startups, driving innovation and growth in the AI and technology space.
Kavitha Thiyagarajan
Client Enterprise Delivery Director, Ascendion
Author of Ethical AI in Financial Services and Digital Transformation for Senior Leaders. Kavihta has written extensively on the responsible implementation of AI in the financial sector and strategies for guiding organizations through digital transformation, providing insights that combine practical experience with thought leadership in these critical areas.