Membership ID: SAS/FSASS/931/2025
Olawande Jaiyeola, DBA in progress, MBA, is a healthcare finance and public health administration specialist with over 15 years of experience in financial management and leadership. She is the developer of the Healthcare Financial Sustainability and Cost-Effectiveness (HFSC) Model, an innovative framework designed to reduce waste, optimize resources, and strengthen financial sustainability in healthcare systems.
Membership ID: SAS/FSASS/930/2025
Ritesh Sathe is a Senior Technical Service Manager at SAP Enterprise Cloud Services with 17+ years of expertise in enterprise cloud transformation and SAP S/4HANA migrations. He leads cross-functional teams in delivering mission-critical projects for Fortune 500 clients, including NVIDIA and Illumina, as well as other major enterprises such as Shutterfly. Previously, as Senior SAP Basis Lead at doTERRA, he architected high-availability e-commerce platforms processing 150,000+ daily orders and achieved 40% TCO savings through cloud migration initiatives. Ritesh holds an MIT from Colorado State University, AWS Solutions Architect certification, and specializes in SAP Basis, automation, and multi-cloud architecture across AWS, Azure, and GCP.
Membership ID: SAS/FSASS/929/2025
Anjaiah Keesari is a Cloud Architect at AssetMark in Concord, CA, with extensive expertise in cloud-native architectures, artificial intelligence, and machine learning. He specializes in designing scalable microservices, event-driven systems, and Kubernetes-based platforms. Anjaiah has published peer-reviewed research in international journals on AI-driven algorithmic trading and high-throughput cloud messaging architectures. He holds multiple professional certifications and is passionate about advancing research in cloud computing, software engineering, and financial technology. As an SAS Fellow Member, he is committed to contributing to the academic community through peer review and scholarly publications.
Membership ID: SAS/FSASS/928/2025
I am a Salesforce Technical Lead at University of California ,San Francisco ,California with 14 years of experience designing, building, and scaling secure, enterprise-grade platforms end to end. My work spans the full software development lifecycle—discovery, architecture, configuration and custom development, automated testing, CI/CD, deployment, and ongoing production support—with a strong emphasis on reliability, security, and governance. I have primarily partnered with public-sector organizations, including state agencies, counties across California, and large public enterprises, where protecting sensitive data and maintaining operational continuity are critical.
Membership ID: SAS/SEFM/682/2025
Sharan Babu Paramasivam Murugesan is a Senior Software Engineer at Microsoft with over a decade of experience in applied artificial intelligence and cloud-native systems. He works on Azure’s core observability platform, designing AI-driven diagnostics that correlate metrics, logs, and telemetry to accelerate incident detection and resolution in large-scale production environments. His expertise spans AI-native observability, intelligent agents, retrieval-augmented systems, and secure multi-tenant cloud architectures. He is a Senior IEEE Member, a published researcher, patent contributor, and an active reviewer and judge for international conferences and global technology awards.
Membership ID: SAS/SEFM/681/2025
Seyi Rufus Zenith Oluwadare is a mechanical engineering doctoral researcher at Clarkson University, USA, specializing in Aerodynamics, Computational Fluid Dynamics (CFD) and intelligent digital twins for smart manufacturing. His background spans computational fluid dynamics (CFD), large-eddy simulation (LES), thermal management, and advanced energy systems. With dual mechanical engineering degrees focused on Thermofluids and CFD/aerodynamics, he brings strong multidisciplinary expertise bridging physics-based modeling, AI-driven analytics, and Multiphysics simulation. Seyi has more than a decade of professional experience across telecommunications, manufacturing, and energy sectors. His work emphasizes next-generation digital-twin frameworks, autonomous manufacturing, and high-fidelity simulation tools that support Industry 4.0 transformation
Membership ID: SAS/SEFM/680/2025
I am a Data Analyst Engineer and AI researcher with strong experience in machine learning, large-scale data engineering, and intelligent systems. At Elevance Health, I design Spark-based ETL pipelines, develop predictive data models, and build analytics solutions using Python, SQL, Kafka, and Hive. My research spans reinforcement learning, robotic manipulation, evolutionary AI, diffusion-based generative modeling, surrogate modeling for solid mechanics, satellite imaging, and natural-language understanding. I also have academic experience developing deep learning and graph neural network models for medical imaging during my graduate research at the University of South Dakota. I actively contribute to peer review communities and global research platforms.
Membership ID: SAS/SEFM/679/2025
Rajgopal Devabhaktuni is a Senior Staff Software Engineer and Enterprise Architect with 20+ years of experience building intelligent, secure, and large-scale digital systems across retail, healthcare, and industrial domains. His work focuses on AI-driven automation, cloud-native architectures, data engineering, and secure computing. He has authored scholarly papers, served as a reviewer and Technical Program Committee member for IEEE/Springer conferences, and judged international technology awards. As an advocate of trustworthy and human-centric AI, he actively contributes to advancing innovation and research excellence globally.
Membership ID: SAS/SEFM/678/2025
Sathish Kumar Velayudam is a Principal Architect at Cox Automotive with over 20 years of experience leading enterprise-scale Salesforce and AI solutions. He has led the design of cloud-native architectures across automotive retail and wholesale operations, driving measurable business impact and multi-million-dollar cost savings through AWS and MuleSoft integrations. His expertise spans AI/ML technologies, enterprise system integration, and technical leadership. He leads cross-functional teams of developers and analysts while mentoring developers and emerging architects, helping them navigate complex systems and adopt evolving AI and integration practices. Sathish holds a Master’s degree in Software Engineering (MS, BITS Pilani), an MBA and an undergraduate degree in Engineering. He actively contributes to research through conference presentations and peer review for international conferences in AI, data science, and emerging technologies.
Membership ID: SAS/SEFM/677/2025
Nidhi Sharma is a Senior Software Engineering Leader with over 15 years of experience at the intersection of human ingenuity and artificial intelligence. At Cox Automotive, she has led Salesforce platform strategy across multiple business divisions and globally distributed engineering teams, delivering efficiencies through AI-driven solutions while ensuring human judgment remains central. A published researcher, she has work appearing in the IIJCA and at the IEEE International Conference on Engineering and Emerging Technologies, highlighting AI‑enhanced data security and systems. She is a Senior Member of IEEE, holds 10+ advanced certifications, and actively mentors technology professionals worldwide.