Membership ID: SAS/FSASS/921/2025

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FSASS

Abhinav Kasliwal is a Product and Technology Leader at Amazon with over 16 years of experience driving digital transformation and innovation across B2B, B2C and Internal product suites. Currently serving as Head of Product/Tech, he leads next-generation learning ecosystems and generative AI solutions with multi-agent orchestration systems. Previously, he spearheaded External System Integration and Onsite B2B procurement product suites for Amazon Business and WW Defect Elimination & Concession Reductions for Amazon. Prior to Amazon, Abhinav had worked 6 years at Capital One leading credit product analytics and growth initiatives. He holds a Bachelor of Engineering (Honors) from BITS Pilani and has completed executive education from Harvard Business School Online and London School of Economics. An evangelist for AI, Product Management, and Technology, Abhinav is passionate about mentoring teams and leveraging cutting-edge technologies to solve complex challenges.

Membership ID: SAS/FSASS/920/2025

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FSASS
Kishore Arul is a Senior Data Engineering Executive at Aetna – CVS Health with over a decade of experience in architecting scalable data solutions across healthcare, retail, and automotive sectors. His work involves leading AI/ML-driven Medicaid and Medicare initiatives that enhance population health analytics and care outcomes. He specializes in Retrieval-Augmented Generation (RAG) concepts and advanced healthcare analytics. A published researcher and IEEE member, Kishore has presented and received awards for his papers at international AI and data science conferences. He is pursuing an M.S. in Data Science, driving innovation through research and real-world healthcare applications.

Membership ID: SAS/FSASS/919/2025

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FSASS

Sowmith Reddy Thukkani is a Data Scientist and AI Engineer specializing in machine learning, data visualization, and intelligent automation. His research focuses on conversational AI, anomaly detection, and distributed data processing, with several publications in IEEE and Springer proceedings. He has contributed to advancing retrieval-based chatbot systems and visualization frameworks that enhance analytical precision. With over four years of experience in AI-driven product development and research, H is passionate about integrating academic innovation with practical engineering to develop scalable and impactful technological solutions.

Membership ID: SAS/FSASS/917/2025

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FSASS

Dr. Rahul Saxena is presently Professor & Head in Biochemistry department of SSAHS, Sharda University, Greater Noida, UP (having more than 20 Years experience). Dr. Saxena had worked in AIIMS New Delhi after completion of his PhD as Senior Research Fellow from M.L.N. Medical College, University of Allahabad. He has completed 02 Government funded projects (NRDC & MSME) and invented various inventions (38 patents) related to surgery and health. He received many prestigious awards and published more than 159 research articles, 1096 citations; h-index: 18; i10 index: 41; and 02 edited and 03 author books. He has supervised PhD, MD and MSc students. He is a member of different academic bodies [National Academy of Medical Sciences (NAMS), Association of Clinical Biochemistry of India (ACBI) and Indian Academy of Geriatrics]. He has wide academic experience as PhD program and NAAC co-ordinator and Resource person in Medical Education Unit; & scientifically contributed in various scopus indexed journals as reviewer.

Membership ID: SAS/SEFM/651/2025

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SEFM

Karthiek Maralla is a seasoned software engineer with over 16 years of experience building large-scale distributed systems, developer platforms, and AI infrastructure. He has held staff level engineering roles at Amazon, Visa, Cisco where he led initiatives across critical Platform , Cloud infrastructure,  Security teams with diverse expertise across large scale distributed systems, Artificial Intelligence, big data and automation platforms powering mission-critical applications. Karthiek is passionate about advancing secure, scalable, and intelligent systems, and contributes to the broader engineering community through research and thought leadership in cloud computing and applied AI.

 

Membership ID: SAS/SEFM/650/2025

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SEFM

Sandeep Sambaraju is a data-driven senior analytics leader with over 15 years of experience in data science, product analytics, marketing measurement, customer lifecycle management, and financial modeling. Currently a Senior Marketing Analytics Manager at Google-Devices and Services, Sandeep has a proven track record of establishing product analytics infrastructure, leading complex cross-functional experimentation, and developing robust measurement tools to drive insights and improve business outcomes. Prior to Google, Sandeep held analyst roles at Capital One and HSBC, focusing on customer segmentation, valuation framework development, and risk management strategies. Sandeep holds an MBA from The University of Chicago Booth School of Business and a Bachelor of Technology from The Indian Institute of Technology, Madras.

Membership ID: SAS/SEFM/649/2025

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SEFM

Aswathnarayan is an accomplished data and AI engineer specializing in large-scale data systems, cloud-native architectures, and advanced analytics. With extensive experience at leading technology organizations, including Meta, he has built and optimized high-performance data pipelines, automated workflows, and real-time analytics and ML solutions that power strategic business insights. His expertise spans data engineering, distributed computing, and system automation, with a strong focus on scalability, reliability, and efficiency. Passionate about applying AI and automation to enhance data quality and decision-making, Aswathnarayan bridges engineering excellence and innovation to advance intelligent data infrastructure and modern cloud ecosystems.  

Membership ID: SAS/SEFM/648/2025

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SEFM

Aditya Saxena is a researcher whose work bridges traditional and machine learning methodologies in quantitative finance. He earned his master’s degree in Computer Science and Statistics from Harvard University, where his research focused on applying machine learning to quantitative finance, investor behavior, systemic risk, and adaptive market dynamics. He completed his thesis at the MIT Laboratory for Information and Decision Systems (LIDS) in collaboration with the Departments of Economics and Statistics at Harvard. His work has been published in leading journals and conferences, including Springer Nature and IEEE.

Previously, Aditya co-founded a Generative AI B2B SaaS venture, which was adopted by SP Jain School of Global Management (Dubai, Mumbai, Singapore, UK, and Sydney) in 2024. He holds a Bachelor’s degree in Computer Science (B.E.) from BITS Pilani, where he was actively involved in research and student organizations, earning recognition for excellence in both research and entrepreneurship.”