Building products that make complex work simpler.
Across enterprise software, applied AI and a business built from scratch.
Product strategy · Customer context · Applied AI
New Relic
Atlassian
SAP Ariba
Samsung
VoonikHow a customer problem became a product decision—and what changed next.
Users face slow or failed requests. Developers see the spike, but millions of traces leave them searching for what changed and where to begin.
Built Intelligent Exemplar and ACA to help developers find evidence and understand what makes it different.
Customers wanted incidents resolved with less manual work. JSM held the ticket, but response happened elsewhere—and knowledge from past resolutions was rarely captured.
Shaped the strategy toward automated incident resolution: bring response into JSM, then capture resolution knowledge through AI-generated PIRs.
Invoices and purchase requisitions come with different reporting experiences. Customers must navigate each team’s approach before answering their business questions.
Built a shared Data Analytics Platform to standardise reporting across Ariba.
To serve paying customers, the idea needed a complete product: recommendations, payments, acquisition and operations that could work profitably.
Built the product from scratch with AI-assisted development, owning recommendations, payments and acquisition.
12+ years across enterprise platforms, developer tools and consumer products. The common thread: understand where people struggle, choose a direction, and stay close to the work of making it useful.
Building a profitable product independently brought every decision—from scope to acquisition spending—back to the customer and the business.
More about my experience ↗Distributed Tracing strategy, relevant evidence and AI-assisted investigation.
Explore the work ↗Strategy toward automated incident resolution, supported by integrated response and AI-generated PIRs.
Explore the work ↗Standardising reporting across Ariba through a shared Data Analytics Platform.
Explore the work ↗Pay Planner: payment recommendations that drove 14% growth in weekly active users.
Explore the work ↗More than fivefold improvement in desktop and mobile purchase conversion.
Explore the work ↗
Daimler IndiaInvestment business cases grounded in return on sales and net value added.
PGDM · IIM Shillong · 2014
B.Tech, Computer Science & Engineering · VIT Vellore · 2012
IBM · Outstanding Intern, Management Intern Leadership Development Programme. Recommendations to improve client experience through the India Speed initiative.
Mu Sigma · SPOT Award during undergraduate internship for timely insights from Twitter data for Innovation and Development.
Interested in Senior and Principal Product Manager opportunities across B2B SaaS, AI, developer tools and data platforms.