Membership ID: SAS/SEFM/664/2025
Sivamurugan Perumal is an accomplished Project Manager with 25 years of proven success leading end-to-end technology initiatives across diverse domains. With 16+ years of programming experience and certifications including PMI-ACP and CSPO, he excels in applying both Agile (SAFe, Scrum) and Waterfall methodologies to deliver high-quality results on time and within budget. He has managed multimillion-dollar budgets up to $5M and directed cross-functional teams of 20–50 professionals, driving complex projects involving AI agent development, SaaS/PaaS platforms, enterprise systems, mobile solutions, and software engineering.
A strategic thinker, Sivamurugan bridges business goals with technical execution to achieve process improvements and competitive advantage. Known for exceptional communication and stakeholder management, he consistently ensures alignment across executive and technical teams. He holds an M.S. in Software Systems from BITS Hyderabad, a B.E. in CSE, and management diplomas from IGNOU. He is also a proud member of IEEE and PMI.
Membership ID: SAS/SEFM/663/2025
Abhirup Mazumder is a Data Engineering Leader at a leading global e-commerce and retail technology organization, where he drives large-scale digital transformation initiatives. With over 18 years of experience spanning retail, healthcare, and property technology sectors, he specializes in enterprise data warehouse modernization, cloud migration, and AI implementation. His expertise in building scalable data architectures has delivered multi-million dollar cost optimizations and enhanced operational efficiency across major retail operations. Abhirup holds a Bachelors in Engineering and a postgraduate diploma in Artificial Intelligence from the University of Texas at Austin. His current work focuses on revolutionizing retail technology through advanced data engineering and AI-driven analytics, setting new industry standards for technological innovation in modern retail operations.
Membership ID: SAS/FSASS/923/2025
Membership ID: SAS/SEFM/662/2025
Kabilan Kannan is a seasoned Embedded System Engineering Specialist with over 20 years of experience in embedded software, memory technologies, and system-level firmware development. He holds extensive expertise in DDR5/LPDDR5 memory training, JEDEC standards, Linux and QNX device drivers, and embedded firmware across multiple microcontroller architectures. At AMD, he leads DDR5 memory training, bootloader optimization, and advanced firmware development for next-generation processors, integrating AI-driven techniques to enhance reliability and performance. Previously, as a Firmware Principal Engineer at Dell, he contributed to UEFI firmware, security patches, encryption technologies, and platform driver integrations. During his decade-long tenure at Qualcomm, he played a key role in WLAN driver development, protocol implementation, automotive infotainment systems, and global product commercialization. Kabilan is an IEEE member, an active reviewer for multiple international conferences, and a published author in cloud, Kubernetes, and edge-computing research. He is known for his strong debugging skills, technical leadership, and adaptability.
Membership ID: SAS/SEFM/661/2025
Sudhir Vishnubhatla is a technology leader with over 18 years of experience driving innovation at the intersection of AI, data engineering, and cloud computing. He has architected intelligent, scalable, and explainable systems across banking, fintech, and enterprise domains, specializing in large language models, machine learning, and intelligent document processing. Sudhir is a co-inventor of a patented AI-powered system for real-time process optimization and a co-author of a book on AI-driven systems. As a published researcher and active journal reviewer, he champions the fusion of innovation, ethics, and intelligence in modern enterprise ecosystems.
Membership ID: SAS/SEFM/660/2025
I am Nanda Gopal Parise, a software developer and researcher with a Master’s degree in Computer Information Systems from Southern Arkansas University, USA. With over six years of experience as a Java Full Stack Developer, I specialize in Java, Spring Boot, Angular, Node.js, and cloud technologies like AWS and Kubernetes. My research interests include artificial intelligence, edge computing, and data science. I have authored and published several research papers in IEEE conferences focusing on AI-driven applications and intelligent computing systems.
Membership ID: SAS/LMSASS/333/2025
I am Srinivas kola with over 15 years of experience in software engineering, I currently serve as a Software Engineer at Meta, where I design and deliver scalable, high-performance systems that power data-driven and AI-enabled applications. My expertise spans distributed systems, cloud architecture, and machine learning acceleration, with a focus on bridging cutting-edge research and real-world impact.
I am passionate about advancing innovation at the intersection of AI, infrastructure, and high-performance computing. My published works, including “How NVIDIA GPUs Power the World’s Most Advanced AI Models” and “CUDA, TensorRT, and cuDNN: Understanding NVIDIA’s ML Acceleration Stack,” reflect my commitment to exploring the technologies shaping the next generation of intelligent computing.
In addition to my professional role, I actively contribute to the global research community through publications featured in reputed journals such as the International Journal of Information Technology and Management Information Systemsand Frontiers in Computer Science and Information Technology (FCSIT).
Driven by a passion for continuous learning and technical excellence, I focus on building resilient, future-ready systems that empower innovation, inspire collaboration, and elevate the performance of modern computing ecosystems.
Membership ID: SAS/SEFM/659/2025
Dr. Sridhar Varadala is presently serving as a Graduate Research Assistant in the Department of Electrical and Biomedical Engineering at the University of Nevada, Reno (Carnegie R1: Doctoral University – Very High Research Activity), USA. His ongoing research focuses on Reconfigurable Intelligent Surface (RIS)-enabled wireless systems, passive radar sensing, and integrated sensing and communication (ISAC) frameworks that bridge advanced signal processing with artificial intelligence-driven optimization.Prior to joining the University of Nevada, Dr. Varadala held a faculty position as an Assistant Professor in the Department of Electronics and Communication Engineering at the Vidya Jyothi Institute of Technology, Hyderabad, India, where he led research and instruction in wireless communication systems, satellite communication, and 5G and 6G Technology.Dr.Varadala earned his Doctor of Philosophy (Ph.D.) in Electronics and Communication Engineering from Sathyabama Institute of Science and Technology, Chennai, India. He completed his Post graduate diploma in Data Science from IIIT-Bangalore.and also He completed his Master of science in IT from Acharya Nagrjuna University,Guntoor,