This explores product thinking through two real-world scenarios:

Uber – Split Fare Feature
Designed a two-phase split fare system to solve the friction of manual repayments and unfair fare calculations.

Phase 1: Split Fare via Invite Link – Enables users to invite co-riders before booking.

Phase 2: Fair Fare Calculator – Dynamically splits costs based on individual travel distance using GPS and OTP verification.

Focused on solving trust, fairness, and delayed repayment issues in shared rides.

Amazon – Search Experience Improvement
Redesigned the search flow to reduce friction and improve product discovery.

Introduced Intent-Aware Search using NLP to understand real-world queries.

Added Contextual Filters to reduce information overload by showing only relevant filters based on category and user behavior.

Key Skills Applied:
User segmentation, pain-point identification, MVP prioritization, UX flows, tradeoff evaluation, and phased rollout planning.