Work

Panorama

Panorama is an internal analytics and visualization product that helps teams understand operational and product data.

A major focus has been bringing AI into the analytics workflow through a natural-language assistant for metric and data questions. The broader goal is to make analytics self-serve: giving people an easy way to access governed, accurate metrics and visualize them within the workflows where they already work.

As workflows increasingly incorporate AI agents, the opportunity is to make analytics less dependent on knowing how underlying BI and data systems work, while preserving the governance and accuracy required for decision making.

What I think about

AI should make complex systems easier to use without compromising the quality of the underlying information. For analytics, that means combining strong metric governance and data foundations with interfaces that let people ask questions and explore information in increasingly natural ways.

uMetric

uMetric is the metric semantic layer and computation platform underlying Uber's internal analytics ecosystem.

It provides a common way to define, understand, and compute metrics across different analytics experiences. This foundation becomes especially important as analytics evolves toward AI: natural-language interfaces and AI agents need a reliable understanding of what metrics mean, how they should be calculated, and which dimensions and aggregations are appropriate.

What I think about

Good data products need both a strong foundation and a simple interface. The semantic layer provides consistency and governance underneath, while the experiences built on top should make that complexity largely invisible to the user.

Chronicle

Chronicle is an internal diagnostic product used to investigate individual trips and understand what happened across a complex operational system.

My work focuses on product strategy, roadmap, usability, and extending the underlying capabilities to other workflows. A significant part of the work has been platformization: identifying capabilities that can be reused across teams rather than continuing to build isolated diagnostic experiences.

This has involved thinking about embeddable experiences, APIs, configurable components, and the underlying data and technology required to make those capabilities reusable.

What I think about

A product can create more value when you identify the underlying capability rather than optimizing only for the original use case. Platformization is less about building generic infrastructure and more about understanding which capabilities are genuinely reusable and designing them around the needs of future consumers.

M365 Lighthouse

M365 Lighthouse helps managed service providers set up, onboard, manage, and maintain Microsoft 365 tenants for their customers.

I led product charters focused on improving the partner experience and supporting Microsoft 365 growth through the partner channel. The work involved B2B SaaS, partner ecosystems, onboarding, activation, enterprise workflows, and product-led growth.

What I think about

For B2B products, the user journey often extends beyond the immediate product experience. Understanding the broader ecosystem of customers, partners, administrators, and end users can reveal opportunities that aren't obvious when looking at a single workflow in isolation.

Microsoft 365 Migration

I worked on redesigning the migration experience for SMB customers moving into Microsoft 365. The problem extended beyond migration itself: customers needed a more coherent journey from acquisition through successful onboarding.

I led a cross-functional team to define a unified migration experience across that journey.

What I think about

Some of the most valuable product opportunities exist between stages of a customer journey rather than inside an individual feature. Understanding the end-to-end experience can reveal friction that feature-level optimization misses.

Outlook Extensibility

I worked on product vision and strategy for Outlook extensibility across Mobile and Web, enabling third-party developers and ISVs to build experiences into Outlook.

The work involved balancing user needs, developer needs, platform constraints, APIs, ecosystem strategy, and long-term platform adoption. I shipped functionality including meeting creation through third-party providers and integrations between Outlook Mobile and third-party CRM applications.

What I think about

Platform products require thinking simultaneously about two customers: the person using the end experience and the developer or organization building on top of the platform. The best platform experiences make powerful capabilities available without forcing developers or users to understand unnecessary complexity.

Product Analytics

I led product analytics across several product functions within Mobile Premier League's gaming app, working closely with product teams, analyzing user behavior, and designing and evaluating experiments.

This experience gave me a deeper understanding of consumer products and experimentation and strengthened the analytical foundation I later brought into product management.

Internal Programs

During my MBA, I worked at Google as a Program Manager, focusing on improving collaboration between internal organizations. I defined interaction workflows, evaluated future business needs, and aligned stakeholders and leadership around a more effective operating model.

Channels Data Analytics

Earlier at Google, I worked on data analytics involving candidate mapping, data transformation, statistical analysis, and prioritization. I spearheaded an automated data transformation tool and developed a statistical methodology for prioritizing mapping efforts.

This period gave me a strong foundation in data analysis, statistical thinking, automation, operational efficiency, and problem decomposition.

Analytics & Consulting

I started my career at Mu Sigma Business Solutions, working as a Decision Scientist on analytics and consulting engagements for clients across industries including banking and technology.

The work involved solving ambiguous business problems through data analysis, statistical thinking, and structured problem solving.

Blimey

I founded Blimey, a platform designed to help content creators connect directly with their audiences and monetize their time through one-to-one interactions.

Building Blimey gave me exposure to the full product lifecycle: problem, idea, product, launch, acquisition, onboarding, and monetization.

Badhat

I co-founded Badhat, a B2B order management platform designed to help small neighborhood stores in India order products from their suppliers more seamlessly.

The product helped more than 500 stores manage supplier ordering during COVID-19 and exposed me to the constraints of building for small businesses within an existing offline ecosystem.