Headline

Product @ ONDC | Structuring the Unstructured!

About

I turn complex processes into simple, effective products, from defining clear requirements and running UATs to collaborating with engineering and operations for seamless execution. I think in systems, pay attention to details, and believe great products come from listening as much as building. With a background in software engineering and a curiosity-driven product mindset, I focus on creating tools that are intuitive, efficient, and aligned with real-world needs. I’m drawn to open platforms, digital ecosystems, and solving problems that create lasting value. Always learning, refining, and improving what’s next.

Location

Karnataka

AI stack

anthropic apis

claude code

github copilot

langfuse

llava

lovable

Work experience

Product Manager - Financial Services at Open Network For Digital Commerce (ONDC), Apr 2026 - Present · 6 mos

Product Manager at Open Network For Digital Commerce (ONDC), Jul 2024 - Present · 2 yrs 3 mos, •Built Pramaan, ONDC’s automated integration testing platform, from 0 →1, transforming a manual QA bottleneck into a self-serve onboarding system; scaled integrations to ~25 network participants per month, improved uptime 82% → 99.8%, and reduced QA cycles 25 days → 6 days. •Resolved a network-wide delivery failure impacting 1.36L provider locations by leading migration to a high-accuracy location mapping framework, reducing ecosystem error rate 10.34% → 1.68% and improving buyer experience across seller platforms. •Built an AI-powered support automation pipeline that auto-classifies and routes ecosystem queries with 98.7% accuracy, reducing ticket routing time from 10–15 minutes to near zero and standardizing issue resolution workflows. •Launched AI-driven onboarding guidance within the integration portal, proactively guiding network participants through next steps and reducing daily support queries ~30 → 3–4. •Established ONDC’s centralized integration documentation and grievance framework, creating a single source of truth for APIs, onboarding workflows, and SLAs while improving transparency across ecosystem participants and internal teams.

Associate Product Manager at Arthmate, Apr 2023 - May 2024 · 1 yr 2 mos, Gurugram, Haryana, India, • Created RBI-compliant NCD portal and partner dashboard from ground-up, making NCD, partner, and client management more efficient. • Improved the B2B SaaS platform, reducing customer loan processing time by 80%. • Integrated co-lending with Muthoot for auto loans E2E via APIs. • Improved the P2P investment-lending app, resulting in a significant 40% boost in customer retention. • Developed comprehensive PRDs, FRDs, and roadmaps that met 95% of user requirements, resulting in a 30% reduction in support tickets. • Established and tracked funnel metrics to analyze user behaviors. • Collaborated with a UI/UX designer on Figma to create high-quality wireframes for applications. • Used Miro, Figma, draw.io, JIRA, and Confluence for efficient wireframing and development. • Conducted Root Cause Analysis for production issues and carried out user research to enhance personalized experiences.

Product Engineer at QtPi Robotics, Jun 2020 - Jun 2022 · 2 yrs 1 mo, Bengaluru, Karnataka, India, • Developed website for B2C channel, easing the process by 60% for 1500+ customers. • Collaborated with 6 member team to develop an EDX-based E-learning platform with 80% code churn. • Implemented functionalities that advantaged our product and services reach by 70% • Developed and updated productivity app, which helped the educators organize better by 40%. • Actively engaged in design thinking workshops for UI/UX wireframes. • Defined POC, and created PRDs and FRDs for the software, easing the development by 30-40% • Led a cross-functional team in the development and launch of new products. • Analyzed product usage data(via GA) which helped improving software by 30% • Skills: JavaScript, Python, Django, GraphQL, JSDoc, MySQL, MongoDB, Excel, PPT

Data Science Intern at Mate Labs, Jan 2020 - Jun 2020 · 6 mos, India, • Demand Forecasting for FMCG companies using time series forecasting with past 6+years of records. • Handled and studied past data of clients - Sunpharma, GSK, Kellog’s etc.. to understand their granularity and SKUs. • Performed data cleaning, feature engineering, feature selection hence improving accuracy by 30-40% • Studying research papers to come up with best suited algorithms for the particular case. • Conducted research to improve existing products. • Evaluated the feasibility of new product ideas, by conducting small case experiments. • Identified and resolved engineering issues with existing products, • Provided technical support for implementation of "hyper opt"(large-scale optimization for models) on our platform - "MateVerse ". • Skills involved - Django, Jupyter, PostgreSQL, Predictive Modelling, Excel

Campus Ambassador at GeeksforGeeks, Oct 2018 - Oct 2019 · 1 yr 1 mo, India

Education

Bachelor's degree, Computer Science Engineering, NIIT University

sagar public school