Membership ID: SAS/SEFM/680/2025

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SEFM

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/678/2025

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SEFM

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

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SEFM

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.

Membership ID: SAS/SEFM/676/2025

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SEFM

Dr. Muhammad Arif Bin Jalil is a dedicated researcher and educator specializing in Physics and Optics. He holds a Ph.D. in Physics with a focus on Non linear Optics and Optical Resonators from Universiti Teknologi Malaysia, where his work centered on Optical Resonators , Solitons and the design and characterization of fiber Bragg gratings for optical sensing applications. Dr. Muhammad Arif Bin Jalil completed a Master’s and Bachelor’s degree in Physics, building a strong foundation in classical ,modern and applied optics, together with computational modeling. Currently serving as a Senior Lecturer in the Physics Department, Faculty of Science at Universiti Teknologi Malaysia. Dr. Muhammad Arif Bin Jalil leads research publications that explore advanced fiber optic communication systems, nonlinear optical effects, and optical fiber sensors for environmental and biomedical applications. His research interests span across photonics, nanophotonics, quantum optics, and optical signal processing.