Dhaval Thakkar — CEO

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 in production. Core areas: Agentic AI, RAG, LangGraph, LangChain, OpenAI, Anthropic, Azure OpenAI, vector databases, Qdrant, LangFuse, FastAPI, Python, SQL, MLOps, MLflow, Kedro, Great Expectations, dbt, Docker, Kubernetes, Terraform, Azure, AWS, data engineering, experimentation, and production ML.

Stackforce AI infers this person is a Fintech and E-commerce AI specialist with a strong focus on MLOps and data-driven product delivery.

Location: Mumbai, Maharashtra, India

Experience: 7 yrs 11 mos

Skills

Agentic Ai Development
Data Science
Machine Learning
Data Analytics
Product Management

Career Highlights

Built AI systems for 1,500+ daily users.
Reduced project delivery time from 3 months to 1 month.
Developed an MLOps framework adopted as standard.

Work Experience

Spinnaker Analytics

Lead Data Scientist | Product & Delivery Lead (1 yr 4 mos)

Senior Data Scientist (2 yrs 1 mo)

Zepto

Senior Manager - Retention Marketing (5 mos)

Emplay Inc.

Product Manager (9 mos)

Unifynd Technologies Pvt. Ltd.

Data Scientist (3 yrs 4 mos)

Intern Data Scientist (9 mos)

ZIFF, Inc.

Deep Learning Intern (3 mos)

Self-employed

Freelance Consultant (2 mos)

Education

Bachelor of Engineering at University of Mumbai

Dhaval Thakkar

CEO

Mumbai, Maharashtra, India7 yrs 11 mos experience

Key Highlights

Built AI systems for 1,500+ daily users.
Reduced project delivery time from 3 months to 1 month.
Developed an MLOps framework adopted as standard.

Stackforce AI infers this person is a Fintech and E-commerce AI specialist with a strong focus on MLOps and data-driven product delivery.

Contact

Skills

Core Skills

Agentic Ai DevelopmentData ScienceMachine LearningData AnalyticsProduct Management

Other Skills

PythonVector DatabasesQdrantGenerative AIFastAPIRetrieval-Augmented Generation (RAG)LangGraphProject ManagementLarge Language Models (LLM)Deep LearningGPT-3Data VisualizationMLOpsA/B TestingPython (Programming Language)

About

Experience

7 yrs 11 mos

Total Experience

Average Tenure

Current Experience

Spinnaker analytics

2 roles

Lead Data Scientist | Product & Delivery Lead

Promoted

Feb 2025 – Present · 1 yr 4 mos · Mumbai, Maharashtra, India · Remote

Engaged with John Hancock Finance through Spinnaker Analytics to build and scale enterprise AI products for financial services.
Own the full delivery lifecycle across architecture, product strategy, development, testing, DevOps, stakeholder management, and production operations. Lead cross-functional delivery across engineering and business teams.
Key work:
Architected and delivered an enterprise agentic AI assistant using LangGraph, specialist agents, RAG, Text-to-SQL, vector search, and safe fallback workflows.
Built a routed agent architecture that decomposes complex questions and sends them to the right specialist capability, including Self-RAG, SQL-based analytics, and general fallback flows.
Designed the retrieval foundation using document processing, metadata extraction, embeddings, and vector indexing across enterprise documents, sales collateral, underwriting material, policy content, and legacy knowledge sources.
Integrated observability and evaluation workflows using LangFuse, production tracing, prompt versioning, cost visibility, and LLM-based evaluation on real user traces.
Built middleware controls for routing, retries, grounding checks, fallback behavior, and safer response generation in regulated insurance workflows.
Helped compress query turnaround from days to seconds for sales and business teams.
Scaled the AI assistant to 1,500+ daily users, with an estimated $5–7M annualized productivity benefit based on measured workflow time savings.
Extended the platform into SEC 10-K financial analysis, enabling analysts to compare insurance carriers across filings, metrics, peer rankings, CAGR, YoY calculations, and multi-company search in seconds.
Tech: Python, FastAPI, LangGraph, LangChain, Qdrant, Azure OpenAI, Anthropic, OpenAI, LangFuse, Docker, Azure, GitHub Actions, Terraform, Azure Key Vault.

PythonVector DatabasesQdrantData ScienceAgentic AI DevelopmentGenerative AI+5

Senior Data Scientist

Dec 2022 – Jan 2025 · 2 yrs 1 mo · Mumbai, Maharashtra, India · Remote

Worked on enterprise AI, retrieval systems, document intelligence, and production ML solutions for financial services.
Built LLM-powered workflows for enterprise knowledge retrieval across underwriting, sales, policy, and operational documents.
Designed text processing and embedding pipelines to convert PDFs, legacy documents, and unstructured enterprise content into searchable knowledge bases.
Developed RAG workflows with vector databases, metadata filtering, prompt orchestration, and evaluation loops.
Worked with OpenAI, Anthropic, Azure OpenAI, LangChain, LangGraph, Qdrant, MLflow, Python, FastAPI, Docker, and Azure services.
Collaborated with product, engineering, business, and stakeholder teams to move AI use cases from prototype to production.

Machine LearningPythonVector DatabasesQdrantData ScienceAgentic AI Development+6

Zepto

Senior Manager - Retention Marketing

Jul 2022 – Dec 2022 · 5 mos · Mumbai, Maharashtra, India · On-site

Owned experimentation, data engineering, and operational analytics for Zepto’s 10-minute delivery platform, working with product and operations leadership.
Built data pipelines and experimentation systems for loyalty and retention programs across India.
Designed A/B experiments for cashback incentives, user-specific offers, and loyalty mechanics.
Supported a controlled loyalty pilot deployed to 10% of users across India, resulting in a 33% increase in order frequency compared to the control group.
Built an issue identification framework across store, city, and user levels to detect operational bottlenecks affecting retention.
Consolidated data from Mixpanel, CleverTap, warehouse systems, and internal operational sources.
Built diagnostic views used by store managers, city teams, and customer support teams to proactively identify issues.
Contributed to a 14% improvement in user retention through operational diagnostics and retention analytics.

Machine LearningData AnalyticsData ScienceFastAPIData VisualizationMLOps+3

Emplay inc.

Product Manager

Oct 2021 – Jul 2022 · 9 mos · Mumbai, Maharashtra, India

Led analytics product delivery and MLOps transformation for enterprise clients including Google, SAP, Cisco, and other large organizations.
Led an 8-person cross-functional team delivering sales deal analysis and ML solutions for enterprise clients.
Built and deployed ML models to predict sales deal status with 86% accuracy.
Designed an end-to-end MLOps framework using Kedro, Great Expectations, dbt, and MLflow.
Standardized data ingestion, preprocessing, data quality checks, model tracking, deployment, monitoring, and scheduled runs.
Reduced delivery turnaround from 3 months to 1 month.
Reduced per-client delivery effort from 15–20 people to 4–5 people by converting manual delivery into a repeatable, automated framework.
Helped establish the framework as the standard blueprint for future data science projects.

Machine LearningProduct Road MappingData AnalyticsFastAPIManagement ConsultingGo-to-Market Strategy+4

Unifynd technologies pvt. ltd.

2 roles

Data Scientist

Jun 2018 – Oct 2021 · 3 yrs 4 mos · Mumbai, Maharashtra, India

Built and scaled ML, OCR, pricing, segmentation, and reporting systems across retail loyalty, malls, and logistics.
Built a templatized OCR engine with GUI to verify customer receipts across 5,000+ retailers.
Designed extraction, confidence scoring, fraud detection, and human review workflows for receipt verification.
Deployed the OCR platform across major retail properties including Phoenix Market City, Palladium, DLF Mall, and other mall networks.
Built customer segmentation models that increased revenue by 3x and coupon utilization by 2x.
Built a dynamic coupon pricing engine that increased coupon consumption by 5x.
Built pricing and customer segmentation models for a logistics company, reducing customer attrition by 32% and increasing repeat purchase rate by 12%.
Automated KPI reporting across 10 malls, saving 60+ hours of manual effort per month.

Machine LearningData ScienceFastAPIDemand ForecastingDeep LearningDocker+3

Intern Data Scientist

Sep 2017 – Jun 2018 · 9 mos · Mumbai, Maharashtra, India

Developed Flask based middleware APIs for interfacing backend data science algorithms with frontend
Built a smart cryptocurrency trading platform which used social data and historical prices to optimize current portfolio. Boosted overall profit from the portfolio by 30%
Worked with Product and Marketing teams to identify the power users of an app which resulted in 43% increase in activity and a 65% increase in revenue from these users

Ziff, inc.

Deep Learning Intern

May 2017 – Aug 2017 · 3 mos · United States

Machine Learning internship with an emphasis on Deep Neural Networks
Demonstrated competency in Hyper-parameter optimization, Image Augmentation, and Learning rate Decay strategies on huge Image datasets
Worked with Keras, Python and Docker