Membership ID: SAS/SEFM/724/2026

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SEFM

Shibaji Chandra is a seasoned Technology Leader, Author and Researcher with over 22 years of expertise in Enterprise Architecture, Business AI, and the Business Technology Platform. As Sr. Director, Enterprise Architecture he led key initiatives in Augmented Enterprise Architecture, Artificial Intelligence and Modern Enterprise solution architecture. Shibaji has played a vital role in establishing and scaling teams at SAP, notably in SAP BTP and Enterprise Architecture areas in North America.

An IEEE Sr. Member, Shibaji is an avid researcher in the field of AI, ERP and Enterprise Architecture.  He has authored multiple books including SAP BTP from SAP press which is one of the best sellers.

Membership ID: SAS/SEFM/723/2026

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SEFM

Chandrasekar Devaraj is a Sourcing Manager at Nefab Packaging Inc., with over 20 years of experience in procurement, supply chain management, and strategic sourcing across automotive, manufacturing, and heavy engineering sectors. He specializes in cost optimization, supplier development, and global sourcing strategies, managing high-value procurement operations and driving significant cost savings initiatives. Chandrasekar holds a Bachelor’s degree in Mechanical Engineering and a Master’s degree in Production Engineering, and is currently pursuing his PhD. He is also a published researcher in alternative fuels and emission reduction technologies and serves as a judge for international business awards.

Membership ID: SAS/SEFM/722/2026

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SEFM

Manohar Bandhamravuri is a cybersecurity leader who has spent over a decade building safer digital environments for some of America’s most critical institutions. Currently protecting municipal infrastructure for hundreds of thousands of residents at the City of Long Beach, California, he has cut security response times by nearly a third, trained over five hundred employees to recognize and respond to threats, and developed security policies now adopted as organizational standards. Recognized internationally with the 2026 Global Recognition Award, published on AP News, Manohar is equally committed to lifting others, having mentored multiple colleagues into senior security leadership roles across the profession.

Membership ID: SAS/SEFM/721/2026

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SEFM

Arunkumar Amaran is a technology leader with over 19 years of experience in data engineering, cloud architecture, and enterprise analytics. He currently serves as a Technology Manager at Macy’s Systems & Technology, where he leads the development of AI-driven, cloud-native data platforms enabling large-scale real-time and batch analytics across enterprise domains. His expertise includes Google Cloud Platform, streaming data systems, and enterprise data pipelines. He has contributed to supply chain analytics and real-time systems at The Home Depot and enterprise solutions at Hewlett Packard. An IEEE member, he actively serves as a Technical Program Committee member and reviewer for international conferences.

Membership ID: SAS/SEFM/720/2026

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SEFM

Nareshkumar Soundarajan is a Quality Engineering leader and independent researcher with over 15 years of professional experience in software quality assurance, intelligent test automation, and enterprise software reliability across Retail and Telecom domains. His work focuses on advancing modern quality engineering practices through scalable automation frameworks, data-driven testing strategies, and continuous testing integration within DevOps environments.

He has extensive expertise in designing and implementing automation frameworks using technologies such as Java, Selenium WebDriver, and Rest Assured for UI and API validation. He has also implemented Behavior Driven Development (BDD) frameworks using Cucumber and TestNG, enabling scalable regression testing for large enterprise platforms. His professional experience includes integrating automated testing into CI/CD pipelines using Jenkins and GitLab, along with performance engineering using tools such as LoadRunner and JMeter. His technical work spans backend validation, API testing, database testing across relational and NoSQL platforms, service virtualization, and enterprise integration testing.

His research interests focus on AI-driven software testing, synthetic data generation, machine learning applications in quality engineering, and predictive defect analytics. His scholarly contributions includes the journal publication “Automated Software Defect Prediction Using Machine Learning Models,” published in the International Journal of Computer Science and Security (IJCSS), March 2026.

Nareshkumar actively contributes to the global research community as a peer reviewer for international conferences in artificial intelligence, machine learning, robotics, energy systems, and cloud computing. He has reviewed 60 technical papers across conferences in Asia, Europe, North America, and the Middle East, supporting the advancement of interdisciplinary technology research. He is a member of the Institute of Electrical and Electronics Engineers (IEEE).

Membership ID: SAS/SEFM/719/2026

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SEFM

Prithvi Raj Veluchamy is a accomplished Staff Software Engineer with over 20 years of experience architecting, designing, and delivering secure, scalable, and high-performance enterprise systems across Retail, Fintech, and Telecom domains. A technical leader at The Home Depot, he champions cloud-native transformation initiatives including the organizations first Kubernetes migration, driving 50+ APIs to production on GKE, and architecting high-performance pricing data pipelines using GCP, BigQuery, and Pub/Sub.

Recognized for his expertise in cloud-native microservices, AI-driven retail systems, and distributed architecture, Prithvi has led impactful digital transformations at The Home Depot, Randstad Technologies, and Tata Consultancy Services. He brings deep proficiency in Spring Boot, Kafka, OAuth2, CI/CD automation, and event-driven architecture, pairing technical mastery with active contributions to the global research community as an IEEE member, international conference reviewer, and published author in peer-reviewed journals.