Headline

AI Product Manager | Data Product Manager | Technical Product Manager | Generative AI | LLMs | Agentic AI | RAG | Text-to-SQL | AI Evaluation | Data Platforms | FinTech

About

I build AI and data products that turn complex business problems into practical, measurable outcomes. I currently drive product work for internal AI and data platforms at a Bengaluru fintech, partnering with Director, VP and founder-level stakeholders across discovery, PRD authoring, prioritisation, build sequencing, launch and post-launch measurement. My core product work includes Maya, an agentic text-to-SQL assistant that enables business teams to access data without writing SQL. Maya reduced query turnaround time by 85%, brought responses from hours to under 5 minutes, achieved 70% sustained week-on-week adoption across its rollout, and now handles 60% of monthly ad-hoc data requests. I also built the evaluation discipline around production GenAI: maintaining an evaluation set against known queries, validating SQL before execution, incorporating user feedback and tracking cost per query as a budget line. This experience has given me a practical understanding of the trade-offs involved in shipping AI safely and sustainably. Beyond Maya, I have driven product work across three distinct internal products, including a self-serve DataOps platform and Chitragupt, a centralised financial data platform for FinOps, Finance and Risk. My background in data engineering gives me hands-on depth across Python, SQL, AWS, Airflow, Kafka, Snowflake, Kubernetes and MLOps. Before moving toward product, I built data pipelines and MLOps systems supporting fintech and credit-risk use cases, including work contributing to a 15% reduction in portfolio-level NPA. I enjoy working at the intersection of business problems, data, AI and engineering—particularly where product discovery, technical depth and measurable outcomes need to come together. I’m exploring AI Product Manager opportunities, with Data Product Manager and Technical Product Manager roles also of interest, particularly across AI, SaaS, FinTech and data-platform environments.

Location

Bengaluru

AI stack

anthropic apis

claude code

codex

ollama

huggingface

Work experience

SDE-2 · Acting Product Manager, Data & AI Platform at Refyne India, Jan 2026 - Present · 8 mos, Drive product ownership for internal AI and data products, partnering with business users and Director, VP and founder-level stakeholders across discovery, PRD authoring, prioritisation, build sequencing, launch and post-launch measurement. Key Achievement : • Drove Maya, an agentic text-to-SQL assistant, enabling FinOps, Finance, Risk, Growth, Sales and Marketing teams to access business data without SQL; reduced query turnaround time by 85% and brought responses from hours to under 5 minutes. • Scaled Maya to 70% sustained week-on-week adoption across its rollout, with the assistant now absorbing 60% of monthly ad-hoc data requests, reducing dependency on traditional data-request workflows. • Established the evaluation discipline for a production GenAI product through known-query evaluation sets, pre-execution SQL validation, user feedback and spot-checking, while tracking cost per query as a budget line. • Led product discovery and roadmap execution, translating business requirements into PRDs, prioritised build plans and measurable launch outcomes while aligning senior stakeholders across multiple functions. • Led the DataOps platform, enabling self-serve report access, automated triggers and cron scheduling under RBAC/ABAC controls, replacing fragmented portals and reducing sprint dependency for four business teams. • Built Chitragupt, a centralised internal financial data platform for FinOps, Finance and Risk, reducing data-gathering time by 70% and report generation time by 50%. Core Competencies : ▪ AI Product Management ▪ Product Discovery & User Research ▪ Product Strategy & Roadmapping ▪ PRD Authoring ▪ Generative AI & LLMs ▪ Agentic AI & Text-to-SQL ▪ AI Evaluation & Guardrails ▪ Data Product Management ▪ Stakeholder Management ▪ Data Governance & Access Control

Software Development Engineer I (Data Engineer) at Refyne India, Jan 2025 - Jan 2026 · 1 yr 1 mo, Owned data engineering delivery while taking on product responsibility for the internal data platform, translating requirements from four business functions into a delivery roadmap and partnering with product stakeholders on platform priorities and KPI definitions. Key Achievement : • Translated business requirements into a delivery roadmap for the internal data platform, working across four business functions to prioritise data capabilities and improve access to business-critical information. • Designed and operated ETL pipelines using Python, Apache Airflow and Snowflake, improving query performance by 30% and strengthening the platform's ability to support recurring analytical workloads. • Built monitoring and alerting capabilities for data pipelines, reducing pipeline downtime by 25% and improving operational visibility for data-platform stakeholders. • Defined KPI data contracts with product stakeholders, aligning business requirements with reliable, consistent data definitions for reporting and decision-making. • Bridged engineering and product responsibilities, using hands-on data-engineering expertise to shape platform requirements, prioritisation and delivery while working with cross-functional stakeholders. Core Competencies: ▪ Data Engineering ▪ Data Platform Development ▪ ETL Pipeline Engineering ▪ Product Requirements ▪ Roadmap Planning ▪ KPI Definition & Data Contracts ▪ Data Quality & Reliability ▪ Pipeline Monitoring ▪ Cross-functional Collaboration ▪ Stakeholder Management

Associate Software Development Engineer (Data Engineer) at Refyne India, Mar 2024 - Jan 2025 · 11 mos, Built data and MLOps capabilities supporting credit-risk modelling and underwriting workflows within a fintech environment, partnering with Risk and Product teams to translate business requirements into reliable data solutions. Key Achievement : • Built the MLOps pipeline supporting credit-risk models, contributing to a 15% reduction in portfolio-level NPA quarter on quarter through reliable model-data infrastructure and related feature and model work. • Optimised AWS data pipelines, improving processing speed by 40% and strengthening the efficiency of data workflows supporting risk and analytical use cases. • Partnered with Risk and Product teams to define data requirements for credit-underwriting workflows, translating business needs into technical data solutions. • Developed data engineering capabilities for machine-learning workflows, gaining hands-on exposure to MLOps, model pipelines and production-oriented data infrastructure in a fintech environment. • Worked across engineering, risk and product stakeholders to improve the availability and reliability of data supporting credit decision-making and business processes. Core Competencies : ▪ Data Engineering ▪ MLOps ▪ Machine Learning ▪ Credit Risk Analytics ▪ AWS Data Pipelines ▪ Data Pipeline Optimisation ▪ Data Requirements ▪ Credit Underwriting ▪ Cross-functional Collaboration ▪ FinTech Data Platforms

Lecturer at Parul University, Dec 2021 - Nov 2022 · 1 yr, Vadodara, Taught undergraduate Computer Engineering students while concurrently pursuing an M.Tech at the same institution, combining technical instruction with hands-on mentoring and project-based learning. Key Achievement : • Taught Python programming and Computer Networks to 100+ undergraduate students per semester, translating technical concepts into practical, application-oriented learning. • Redesigned learning delivery around project-based labs, giving students greater exposure to practical implementation alongside foundational computer-engineering concepts. • Mentored undergraduate capstone projects, guiding students through technical problem-solving, project execution and resolution of recurring implementation challenges. • Reduced repeated project blockers by 50% through structured mentoring, practical labs and closer guidance during project development. • Balanced teaching responsibilities with postgraduate study, completing an M.Tech in Computer Engineering while serving as a Lecturer at the institution. Core Competencies : ▪ Python Programming ▪ Computer Networks ▪ Technical Training ▪ Project-Based Learning ▪ Student Mentoring ▪ Capstone Project Guidance ▪ Technical Problem Solving ▪ Curriculum Delivery ▪ Engineering Education ▪ Project Execution

Education

Doctor of Philosophy - PhD, Information Technology, Indian Institute Of Information Technology allahabad

Master of Technology - MTech, Computer Engineering, PARUL INSTITUTE OF ENGG. AND TECH., LIMDA, VAGHODIA 037

Public links

github: https://github.com/darshdevlab

darshdave.com: https://darshdave.com/