Sujith Cheedella | AI Product Manager

Product Strategy , Data & Leadership.

Turning insights into action through data-driven decision making, strategic vision, and user-focused product innovation. From concept to scale, delivering measurable business impact.

About Me

I’m a strategic AI Product Manager with eight-plus years of experience transforming complex challenges into high-impact, AI-driven solutions. I combine long-term vision, analytical rigor, and a strong focus on user value to build products that drive measurable outcomes.

Over the course of my career, I’ve honed skills in product vision, search and recommendation technologies, and personalized digital experiences. I thrive in guiding cross-functional teams through every stage of the product journey—from early discovery to large-scale launches—ensuring every initiative is insight-led and future-ready.

My goal is to craft innovative, user-centric solutions that create lasting business growth and exceptional customer satisfaction.

Key Projects

List of the products / projects I have worked as a Product Manager at my current and previous organisations

Visual Search

Visual search is crucial in eCommerce as it allows users to discover products through images rather than text, simplifying the search process. This feature enhances user experience, drives higher engagement, improves product discovery, and ultimately boosts conversion rates significantly.

ML/AI Algorithm for near real-time ranking

With the vast data coming in from the users, the users are now looking to find out the products of their preference with ease and most effective way. A near real time ranking will help the users find the products curated with their actions and also identify the trends across the platform

Vector Search

Vector search is essential in Indian eCommerce as it enables accurate product matching in various regional languages and dialects. This context-aware approach supports diverse, vernacular queries, enhancing personalization, user experience by offering accessible recommendations.

Tailored User Experience

Upgraded a total end to end enhanced user experience with the introduction of filter navigation, optimised product card for more visibility, entry points and the seamless discoverability of the products on the application. This has improved the conversion to the platform and retention / stickiness of the users to the search.