Meet the volunteers who organize events, run the chapter, and keep the Irving computing community connected.
Tejas Pravinbhai Patel is a Senior Software Engineer at Amazon in Irving, Texas, where he designs and delivers large-scale distributed systems that drive intelligence for sellers and buyers across Amazon's global marketplace. With over eighteen years of engineering experience, he operates at the intersection of distributed systems architecture, artificial intelligence, and real-time data engineering, building platforms that process billions of events and serve tens of millions of customers and sellers worldwide.
His technical contributions at Amazon span the full spectrum of retail intelligence. He has architected seller insights platforms that surface actionable, AI-driven analytics to merchants operating across Amazon's international marketplace, enabling them to optimize pricing, inventory, and customer engagement at scale. He has designed and deployed real-time fraud detection systems that protect the marketplace's integrity for buyers and sellers alike, leveraging machine learning pipelines and distributed stream processing to identify and neutralize threats across billions of transactions. He has engineered recommendation and personalization engines that shape the buying experience for millions of customers globally, applying advanced AI techniques to deliver relevant, timely product discovery at unprecedented scale.
Tejas has also led the design of real-time analytics infrastructure processing billions of events daily, enabling the organization to make data-driven decisions at the speed of commerce. He has driven large-scale DynamoDB migrations handling trillions of records, demonstrating deep expertise in distributed storage systems and data architecture at a scale that few engineers in the world operate at. His work on Buy Box allocation algorithms, the core mechanism that determines product selection for buyers on Amazon's marketplace, reflects his ability to apply rigorous algorithmic thinking to systems with direct, measurable impact on global commerce. Across all of these contributions, his work reflects a consistent orientation toward driving greater intelligence, efficiency, and trust for both the sellers who power the marketplace and the buyers who depend on it.
Beyond his industry role, Tejas holds the distinguished designation of IEEE Senior Member, a recognition conferred upon fewer than ten percent of IEEE's global membership and reserved for those who have made significant contributions to the engineering profession. He is a Distinguished Fellow of the Soft Computing Research Society (SCRS) and a Fellow of the Hackathon Raptors Association. He actively serves as a peer reviewer, session chair, and technical program committee member at international IEEE conferences and journals, further cementing his role as a recognized authority bridging industry practice and academic research in computing.
Sandeep Shivam is a product and technology leader with nearly two decades of experience building AI driven solutions in the financial sector. As Associate Director for the Touchless Lending platform at Tavant, he leads innovation in borrower and lender experience, intelligent automation, and advanced decision systems for enterprise scale customers. He is a Fellow of BCS, an IEEE Senior Member, and a member of the Forbes Technology Council, recognized for shaping practical and responsible applications of artificial intelligence across complex digital ecosystems. Sandeep has delivered keynote talks at industry conferences across the globe and has served as a reviewer, judge, and session chair for international journals and research conferences. His work is frequently published through Forbes, the Mortgage Bankers Association, HousingWire, and other industry platforms. He is passionate about engineering AI native products that create real value and continues to advocate for thoughtful innovation that improves outcomes for businesses and the communities they serve.
Viswanathan Ranganathan is a Senior Distributed Systems Engineer at Netflix, specializing in deployment infrastructure and developer platforms. His core expertise is reliability at scale - building systems that remain dependable whether processing massive data volumes or enabling safe software releases across large engineering organizations.
What distinguishes his approach is product thinking applied to infrastructure: designing technical systems from the perspective of the engineers who use them, rather than optimizing purely for technical metrics. This methodology has driven measurable impact throughout his career - from architecting analytics platforms that served enterprise customers processing over 250,000 events per second, to designing governance frameworks that reduced developer onboarding from six days to minutes.
His 11-year career spans five technology sectors: healthcare, e-commerce, communications, enterprise software, and streaming. Each domain contributed distinct capabilities - healthcare's discipline and precision, e-commerce's adaptability, communications infrastructure's scale under pressure, enterprise software's coordination skills, and streaming's end-to-end planning across large organizations. This cross-domain experience provides perspective on which distributed systems challenges are universal versus domain-specific.
He holds an M.S. in Computer Science from the University of Houston. He is an active member of the ACM Fremont Chapter and serves as a technical judge for hackathons, evaluating projects on architectural soundness, scalability, and operational maturity.
Gajendra Babu Thokala is a Senior Engineering Leader who has gained international recognition by applying over 18 years of experience developing and implementing large-scale, real-time data platforms using artificial intelligence, distributed systems, and knowledge graphs.
He has served in key technical positions with prominent global companies, and has provided input into the design of high-scale data governance, privacy-aware architecture, and real-time streaming infrastructure to support millions of users. Through his original contributions in metadata intelligence, large-scale distributed processing, and governance-by-design systems, he has enhanced how companies develop scalable, compliant, and intelligent data platforms. His efforts span multiple regional clouds operating on billions of data assets and demonstrate global impact.
Gajendra Babu Thokala is a senior member of IEEE and a fellow of the BCS, both are distinguished memberships representing sustained achievement and significant contribution to the computing profession. As part of his active participation in the international research community, Gajendra Babu Thokala serves as a peer reviewer, a member of the technical program committees, and an evaluator for conferences and journals.
Additionally, he is an author of two books and scholarly publications focused on the topics of distributed systems, data engineering, and governance; which further represents his commitment to providing thought leadership in the area of bridging research and industry practice.
Beyond his global influence as a technology leader, Gajendra Babu Thokala currently serves as the Communication Chair of the ACM Irving Chapter, and leads the chapters strategic communication, professional outreach, and global engagement efforts. In this capacity, he is responsible for increasing the chapter's visibility to the international computing community and ensuring that the chapter's programs maintain technical rigor, innovation, and professionalism. As a result of his stature and expertise, the chapter's credibility increases, and the chapter expands its reach to include academia, industry, and emerging professionals.
ACM Irving is entirely volunteer-run. If you're passionate about the computing community in Irving and DFW, we'd love to hear from you.
Get in Touch →