Membership ID: SAS/SEFM/741/2026

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SEFM

I am a Principal Software Development Engineer and Technical Lead at AWS, with over 20 years of overall experience in cloud infrastructure, storage systems, and embedded software. My work has focused on the design and development of large-scale distributed flash storage platforms, storage controller architectures, firmware, and hardware-software co-design. I have contributed to the evaluation and advancement of technology solutions through rigorous assessment of technical merit, scalability, reliability, innovation, and practical impact. My expertise is particularly relevant to cloud storage infrastructure, embedded systems, firmware, and high-performance data platforms for AI and other data-intensive applications.

Membership ID: SAS/SEFM/739/2026

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SEFM

Laxmi Vanam is a senior data and analytics professional with over 16 years of experience driving enterprise transformation through business intelligence, self service analytics, and AI enabled decision support. She has led high impact initiatives across financial services and insurance, building scalable analytics solutions that improve operational clarity, reporting efficiency, and decision quality. Her work spans KPI orchestration, data modernization, governance, and workflow intelligence in regulated environments. Laxmi is passionate about turning complex data into actionable business outcomes and advancing practical, responsible innovation in analytics.

Membership ID: SAS/SEFM/737/2026

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SEFM

Tom is a Cloud Support Engineer at AWS with five years of dedicated experience. He has gained extensive expertise in cloud-based messaging systems by guiding hundreds of customers through the process of migrating their on-premises systems to the cloud and troubleshooting any issues that arise. Tom is also an active Fellow of the British Computer Society (FBCS) and works with IEEE Humanitarian Technology Tech4Good to review proposal submissions. Additionally, he mentors a winning team from the 2025 IEEE Connecting the Unconnected (CTU) Challenge, helping their project scale and achieve further growth in adoption.

Membership ID: SAS/SEFM/736/2026

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SEFM

Gopalakrishnan Venkatasubbu is a Cloud-Native Systems Architect at The Home Depot, specializing in AI-driven payment systems, real-time fraud detection, and scalable enterprise platforms. With over 20 years of experience in retail and financial technology, he designs high-volume transaction systems with a focus on performance, security, and reliability. He is an IEEE Senior Member and an Eminent Fellow of the Scholars Academic and Scientific Society, and actively contributes as a peer reviewer and Technical Program Committee member for international conferences in AI and data science.  

Membership ID: SAS/SEFM/734/2026

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SEFM

A Solution Architect in Applied R&D, Nokia, USA  specializing in 5G technologies and next-generation network solutions for Tier-1 service providers. With expertise in 5G core, telecom protocols, cloud-native architectures, he designs scalable, carrier-grade solutions and products. He actively develops AI-Ops use cases, leveraging machine learning and automation for predictive analytics and anomaly d. His work bridges telecom and AI to enable intelligent, autonomous operations. Passionate about innovation, he collaborates across engineering and product teams to deliver impactful, future-ready solutions that drive digital transformation in the telecom industry.

Membership ID: SAS/SEFM/733/2026

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SEFM

Surendra Kushwaha is a senior software engineering professional with over 20 years of expertise in advanced system architecture, distributed computing, and enterprise platform engineering. He holds a granted patent and contributes to scholarly peer review in software engineering, supporting research integrity and technical advancement. His work bridges applied industry practice and structured engineering methodologies, emphasizing scalability, reliability, and innovation. Surendra actively mentors professionals and promotes adherence to global engineering standards. His contributions reflect sustained professional excellence and meaningful impact within the software engineering community.