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Vijay
Sanikal
Product Owner, Vehicle Simulation Integration
General Motors
Vijay Sanikal is a Product Owner at General Motors, with 15+ years of experience spanning automotive digital product development, CAE, cloud computing, synthetic data, AI, and thermal systems. His work sits at the intersection of Battery Electric Vehicles (BEVs) and Software-Defined Vehicles (SDVs), where he leads initiatives that reduce time-to-market, improve energy efficiency, and optimize vehicle performance using Software-in-the-Loop (SIL) models and AI-driven predictive analytics. Vijay holds a Master’s in Automobile Engineering from Anna University (MIT Campus) and an MBA in Marketing from Indiana University Kelley School of Business, giving him a rare blend of deep technical expertise and commercial perspective. His current focus is applying synthetic data and machine learning to BEV thermal systems—bridging research and real-world deployment while supporting global sustainability goals.
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15 April 2025 14:30 - 15:00
When cost becomes a failure mode
AI systems rarely fail because they are too expensive at launch. Costs escalate over time as usage grows, behaviors change, and design decisions interact in unexpected ways. This session focuses on how engineers design AI systems with bounded cost in mind. We’ll discuss how token consumption, retrieval depth, retries, and fallback paths affect spend under real traffic, and how architectural choices determine worst-case behavior long after systems are deployed.