Raghav Sood
AI and Web developer
Los Angeles, California, United States
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Raghav Sood is a backend optimizer and AI systems strategist with a focus on making advanced machine learning models production-ready. His work bridges software architecture and applied AI, helping teams scale LLM-based systems across fintech, edtech, and enterprise applications. Raghav has mentored early-stage start-ups on AI deployment strategy, contributed to open-source optimization frameworks, and delivered talks on system design for generative AI. His sessions blend deep technical understanding with clear, actionable insights for practitioners building the next generation of intelligent systems.
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Raghav's session
As modern systems scale, performance bottlenecks and inefficiencies can cripple even the most advanced architectures. This session explores how artificial intelligence can be strategically integrated into backend systems to automate optimization, predict system load, and enhance performance in real time.
Raghav Sood will walk participants through practical AI-driven techniques for workload prediction, query optimization, and anomaly detection — with a focus on cost efficiency and scalability. The talk blends research insights with hands-on applications, showing how AI models can assist in database tuning, API latency reduction, and intelligent caching strategies.
Attendees will gain a comprehensive understanding of how to bridge the gap between backend engineering and applied machine learning — not just as a concept, but as a deployable performance enhancer. Whether you’re building large-scale distributed systems or optimizing microservices, this session provides actionable insights to future-proof your backend architecture.
Bridging Large Language Models and Real-World Systems: Making AI Actually Work in Production
Raghav Sood is a backend optimizer and AI systems strategist with a focus on making advanced machine learning models production-ready. His work bridges software architecture and applied AI, helping teams scale LLM-based systems across fintech, edtech, and enterprise applications. Raghav has mentored early-stage startups on AI deployment strategy, contributed to open-source optimization frameworks, and delivered talks on system design for generative AI. His sessions blend deep technical understanding with clear, actionable insights for practitioners building the next generation of intelligent systems.
Raghav Sood
AI and Web developer
Los Angeles, California, United States
Actions
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