Membership ID: SAS/SEFM/706/2026

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SEFM

Over the past 18+ years, I’ve led large-scale programs, guided teams through change, and built governance frameworks that ensure sustainable transformation. My work integrates regulatory program governance, infrastructure modernization, and AI-enabled compliance to create practical, scalable, and future-ready solutions.

 

As a published author, speaker, mentor, and industry reviewer, I share insights that connect strategy with real-world delivery. My work has reached beyond my own projects, influencing practices adopted by institutions around the world.

 

Over the years, my research and thought leadership have been published in Q1 and Q2 peer-reviewed journals across five countries, covering governance, infrastructure modernization, and AI-enabled compliance. These works are cited by professionals, referenced in industry discussions, and applied in practical delivery environments worldwide.

Membership ID: SAS/SEFM/705/2026

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SEFM

Dhivya Guru is a technology leader and researcher specializing in financial systems modernization and scalable enterprise architecture. With over 18 years of experience, she has led large-scale digital transformation initiatives across financial services, focusing on cloud-native platforms, workflow orchestration, and intelligent automation. Her research interests include AI-driven financial analytics and applied machine learning for real-time decision support. She has authored and co-authored international conference papers and book chapters and serves as a reviewer and technical program committee member for IEEE conferences. An IEEE Senior Member and active WIE leader, she advances innovation through research, mentorship, and professional service.

Membership ID: SAS/SEFM/704/2026

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SEFM

Rajesh Devaraj is a senior technology leader with over 19 years of experience working across the United States and India. He currently holds a senior managerial role at Controlled Networks Solution LLC, where he leads enterprise telecommunications, cloud platforms, and day-to-day technology operations. He previously served as Director for the company’s India operations, managing cross-border teams and strategic initiatives. Alongside his industry work, Rajesh remains active in research, contributes to peer-reviewed publications, and participates as a judge for international professional awards.

Membership ID: SAS/SEFM/703/2026

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SEFM
Sitaram Srivatsavai is Head of Engineering at IQVIA for the Commercial, Safety, Patient, and Site product suites, as well as DevOps and Integration. With 18+ years in regulated life sciences and healthcare, he builds and scales multi-tenant SaaS and CRM/CLM platforms on Azure/AWS and Salesforce, emphasizing reliability, security, and GxP/21 CFR Part 11 compliance.
He contributes to the scholarly community through publications and peer review for international conferences, and mentors practitioners across AI, data science, and enterprise technology.

Membership ID: SAS/SEFM/702/2026

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SEFM

Tarun Kalwani is a prolific Principal Engineer with over 19 years of experience in architecting, designing, and delivering secure, scalable, and high-performance enterprise systems across Telecom, Airlines, and Financial Services. A technical leader at Verizon, he champions large-scale cloud and application modernization initiatives such as monolith-to-microservices migration, multi-brand architecture consolidation, and mission-critical system transformations using Core Java, Spring Boot, AWS Cloud, Kubernetes, and GenAI-enabled development workflows.

 

Recognized for his expertise in secure software development, application modernization, and distributed system design, Tarun has led migrations like Verizon’s Prepay NSA modernization, Bill Pay Kiosk modernization, and the migration of Delta Airlines Load & balancing application onto AWS Lambda. He brings deep proficiency in microservices, CI/CD automation, event-driven architecture, and production-grade observability, pairing technical mastery with strong mentoring and leadership of global engineering teams.

Membership ID: SAS/SEFM/701/2026

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SEFM

Vijaya Sai Munduru is a Lead Member of Technical Staff at Salesforce with 15+ years of experience building offline-first mobile and enterprise CRM platforms for Life Sciences. An IEEE Senior Member, he actively contributes to the research community as a peer reviewer, technical program committee member, and session chair, and he presents research on AI-enabled CRM, privacy, and data synchronization. He has co-authored peer‑reviewed publications and is a co‑inventor on a pending patent. Vijay provides cross‑functional technical leadership, mentors engineers, and supports talent development initiatives. He holds an MCA and a BSc from Andhra University. 

Membership ID: SAS/SEFM/700/2026

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SEFM

Karthik Bodducherla is a distinguished technology leader and researcher serving as Director of Engineering at IQVIA Technology Solutions. With over 16 years of experience in enterprise software engineering, he specializes in life sciences CRM platforms, regulatory-compliant systems, and AI-enabled digital transformation. He leads global cross-functional teams delivering secure, scalable, and audit-ready solutions aligned with international healthcare standards. A Senior Member of IEEE, Fellow of IETE, and active peer reviewer for reputed journals and conferences, he contributes to advancing research in artificial intelligence, data governance, and secure cloud architectures. His work bridges industry innovation with academic excellence and global impact.

Membership ID: SAS/SEFM/699/2026

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SEFM
Sauhard Bhatt is a Cloud and DevOps engineering Expert and Leader with nearly two decades of experience designing secure, scalable, and governance-driven digital ecosystems across healthcare and highly regulated industries. His work centers on hybrid cloud architecture, AI-enabled DevOps automation, data-driven platform engineering, and modernization of zero-trust security. He has authored and reviewed scholarly research for international conferences and contributes to global technical communities. An advocate of responsible, AI-assisted engineering, he is actively advancing an AI-driven governance model focused on predictive operations, intelligent automation, and resilient enterprise cloud platforms.
 

Membership ID: SAS/SEFM/698/2026

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SEFM

Balakumaran Sugumar is an Independent Researcher and Applied AI Principal Engineer with over 16 years of experience designing secure, scalable, and cloud-native financial systems. His work spans data tokenization, payment security, event-driven architectures, and real-time AI/ML solutions and transaction intelligence. He is an IEEE Senior Member and an invited speaker and session chair at international conferences. Balakumaran has authored multiple peer-reviewed and industry publications and actively contributes to global technical communities through research, reviewing, and mentorship. His professional focus is on building trustworthy, intelligent payment platforms at enterprise scale.

Membership ID: SAS/SEFM/697/2026

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SEFM

Velu Kaliappan is a distinguished technology consulting leader at Ernst & Young (Big 4) in Boston (USA), specializing in automation architecture, digital transformation, and enterprise modernization. With 15+ years of experience across insurance, banking, healthcare, and utilities, he delivers high‑impact automation frameworks powered by AI, cloud engineering, and advanced analytics. His work includes securing healthcare cloud environments, driving multimillion‑dollar transformation programs, and developing high‑ROI accelerators that enhance speed, quality, and operational efficiency for Fortune 100, 500 clients. He holds a Master’s in Computer Applications and a Bachelor’s in Computer Science, bridging academic research with industry‑driven engineering.

 

He is also an active researcher with contributions in digital health data safeguards, privacy architecture, literary AI, digital persona generation, and adaptive predictive analytics. His research includes pioneering PHI‑protection models for U.S. healthcare systems, creating Innovative cloud‑based Python automation filtering algorithms, and advancing next‑generation medical informatics. His scholarly footprint reflects a meaningful impact on data privacy, AI evolution, and applied machine learning.

 

His professional recognition includes serving as a Keynote Speaker and Paper Reviewer at the International Conference on Trends in Artificial Intelligence, Data Analytics, and Digital Governance. His expertise is strengthened by certifications in AWS, Snowflake, Data Science, and AI Engineering. He is known for combining deep theoretical knowledge with transformative real‑world application, positioning himself as a respected leader in both engineering innovation and technology consulting.