Product person. Builder. Curious optimist.
I enjoy turning complex problems into simple products — from commerce and AI at Aza to things I’m building myself.
Products I’m building and actively working on.
Turn a photo and your words into lifelike videos — in your voice, your language and your style.
Conceptual visual · Product in development
What would customer support look like if AI wasn’t bolted on to an old ticketing system, but designed into the product from day one?
Conceptual visual · Product in development
The decisions behind a product interest me more than the feature list. Five questions from work in progress.
I compare identity, lip sync, language, latency and cost using the same input. A polished demo clip does not settle the product choice.
Turn a situation into a playbook; surface unclear decisions for the team.
Evaluate enrichment against how people shop, then review errors that matter.
Trace each promise update so the team can fix the actual mismatch.
Use one-time translation and a controlled experiment to learn first.
Build for the people in the context they're actually in.
Commerce, service operations and the decisions behind a better customer journey.
From support copilots and sales agents to catalog intelligence, merchandising and voice of customer, I lead work around useful decisions, evaluation and human handoffs.
Search, filters, suggestions and colour relationships made a large catalogue easier to explore.
Colour mapping · 3× conversion vs standard productsConnected courier orchestration, delivery dates, cancellations and exceptions from the customer's view.
Used behaviour and risk signals to shape COD controls and partial payment options.
COD risk ~42% → ~17% · India RTO <1.5%
I followed field teams across claim, pickup, repair and return, mapped handoffs and exceptions, then shaped the app around the next action each role needed.
Built a comparison-led flow so sellers could see courier prices and services side by side, choose an option and book.
I mentored two PMs through ambiguous roadmaps, prototypes and experiments so they could drive the next decision.
These came from shipping, watching things break, and changing my mind.
The edge case often reveals what the system really needs to do.
A rough prototype can settle a debate faster than a polished plan.
Build a useful handoff, an evaluation loop and a way to see why a decision was made.
That question has taken me across enterprise software, commerce and the systems that keep a customer promise. Fourteen years in, I’m still following it.
Building ecommerce tools for sellers led me into logistics too, with Zepo Couriers. The operational problem was often bigger than the software screen.
CRM, support, partner workflows and field operations taught me how much of a good customer experience depends on systems people never see.
From the ecommerce platform and discovery journey to post-order experience and profitable growth, the work kept crossing team boundaries.
At Aza, I lead work on support copilots, sales agents, catalog intelligence, visual merchandising, taxonomy and voice of customer — bringing AI into operational decisions with room for human judgment.
What excites me is technology that quietly removes complexity, helps people do better work and makes a business move faster.
I'm open to product leadership conversations, AI product and workflow consulting, and helping PMs think through their resume or interviews.
Share the user problem, the current workflow and what you've tried so far. Find me on LinkedIn ↗