Dhaval Thakkar

I build production AI systems that connect LLMs, retrieval, data, evaluation, observability, and business workflows into products people actually use. I am a Lead Data Scientist and AI Delivery Lead with close to 8 years of experience across enterprise agentic AI, RAG systems, production ML, MLOps, data engineering, and product delivery. Currently, I work through Spinnaker Analytics on enterprise AI products for John Hancock Finance, where I own the full delivery lifecycle across architecture, product strategy, development, testing, DevOps, stakeholder management, and production operations. My recent work includes building and scaling an agentic AI assistant used by 1,500+ daily users. The platform helps sales and business teams answer complex questions across underwriting guidelines, policy configurations, premium-related workflows, enterprise documents, and analytics systems. It combines LangGraph-based orchestration, specialist agents, Self-RAG, Text-to-SQL, vector search, middleware controls, observability, LLM evaluation, and safe fallback behavior for regulated financial services workflows. Earlier, I worked across quick commerce, enterprise analytics, retail loyalty, logistics, OCR, dynamic pricing, customer segmentation, and experimentation. At Zepto, I built data and experimentation systems that supported loyalty and retention programs at national scale. At Emplay Analytics, I helped build an MLOps framework that reduced delivery effort and became the company’s standard blueprint for analytics engagements. At Unifynd, I built ML and OCR systems deployed across major Indian retail properties including Phoenix Market City and Palladium. I am most effective in roles where I can own the full delivery chain: understand the business problem, design the system, build the core components, lead the team, manage stakeholders, and make sure the product is adopted