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Shasvat
Desai
Staff Machine Learning Scientist
Walmart Global Tech
Shasvat is a Staff Machine Learning Scientist at Walmart, where he is involved in developing core ML models that power Walmart's Adtech platform (Sponsored Search). He is the technical lead in AdTech Science group with a focus on semantic query and item understanding, product retrieval, and ranking for sponsored search in e-commerce. He leads end-to-end development of ML and LLM systems—from data strategy and model training to distillation, evaluations and low-latency online serving. His work connects deep semantic understanding with large-scale retrieval, ranking, and optimization to improve relevance, engagement, and revenue. He partner closely with Engineering, Product, Analytics, and Business teams to drive measurable impact through rigorous evaluation and A/B testing.
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20 May 2026 13:00 - 13:45
Panel | Build, buy, or borrow: How engineering teams are making data stack decisions that don't haunt them at renewal time
Every team building with AI hits the same wall: what do you own, what do you outsource, and how do you know the difference before it costs you 18 months and a rewrite? The answer looks completely different depending on where you sit. Infrastructure teams see it as a capacity and control problem. Enterprise leaders see it as a governance and risk problem. The people implementing it see it as both, plus everything nobody planned for. This panel brings together voices from all three layers to cut through the theory and get into where these decisions actually land, what creates long-term leverage, what becomes a maintenance burden, and what the vendors and integrators who've seen hundreds of these calls wish teams had asked earlier.