Prince Antriksh

I’m a product-first engineering student with hands-on experience designing data-driven product frameworks for consumer e-commerce at scale. I’m skilled in user research, feature prioritization, roadmapping, and wireframing, and I focus on measurable outcomes from day one.

At Amazon, I led a trust restoration product case study by diagnosing a trust gap affecting 89% of users who exit to Reddit/YouTube, rooted in review saturation from sponsored and fraudulent listings. I designed a 3-signal Authenticity Score feature (Review Velocity, Brand Heritage, Return-to-Sales ratios) for 310M+ users, proposed Prime Research Mode to suppress sponsored listings in high-consideration flows, and architected Amazon Circles with a Trust Commission incentive model to improve durability and reduce returns.

In the Myntra PM Club competition, I identified fit uncertainty as the primary driver behind 67% of fashion returns and built a Digital Twin Fit Engine concept using AI body scanning and a physics-based Drape Engine. I also designed a personalized Confidence Score to deliver real-time fit validation, alongside leadership experience as an Inter-IIT table tennis captain, where I managed team operations and decision-making under pressure.