Fullstack Engineer - AI with 3+ years in Node.js, React.js, and AI-powered Shopify applications.
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Full-Stack Node.js Developer with 3.8+ years of experience building scalable, Al-powered e-commerce and Shopify applications. Core contributor on ConversionBox.ai - a commerce Al platform delivering up to 25% conversion lifts and 38% revenue boosts for global brands - where I led backend development of the Al Site Search engine and the Al Shopping Assistant. Proven track record designing RAG pipelines, Shopify integrations, Merchant Portals with RBAC, and high-performance search infrastructure using Elasticsearch and Typesense. Passionate about shipping reliable, production-grade features that drive measurable business outcomes.
Vignan's Foundation for Science, Technology & Research
Bachelor of Technology · Computer Science
August 1, 2018 – June 30, 2022
INNOPPL IT SERVICES
Software Engineer - Full Stack & AI
October 1, 2024 – Present
Chennai, Tamil Nadu, India
RIGHT PATH
Software Engineer - Full Stack
July 1, 2022 – October 1, 2024
Hyderābād, Telangana, India
ConversionBox.ai – AI-Powered Search Application
October 1, 2024 – June 1, 2026
End-to-end development of the AI Site Search engine: intent-aware relevance ranking, predictive search, and real-time product indexing with Elasticsearch and Typesense - contributing to an 18% lift in platform-wide conversion rate. Built the AI Shopping Assistant a conversational product discovery tool for Shopify storefronts, powered by a RAG pipeline, delivering a 30% increase in shopper engagement. Developed the Merchant Portal (RBAC, onboarding, storefront integrations, search and merchandising configuration) serving multiple global merchant accounts. Implemented AI-powered smart filters, dynamic collections, and automated product sync workflows.
ConversionBox AI Shopping Assistant
October 1, 2024 – June 1, 2026
Architected and shipped a store-specific conversational AI assistant allowing shoppers to discover products via natural language queries. Integrated Shopify Storefront APIs and automated product indexing pipelines using Typesense and Elasticsearch. Implemented RAG pipeline (RagFlow) to generate context-aware, accurate product responses - improving pre-purchase decision confidence and reducing support load. Developed the product page UI for natural language queries, enhancing UX and product discovery.
JavaScript for Beginners
Scaler
June 1, 2026 – Present
Recipient of the 'On the Spot Award' for outstanding contribution to the organisation
Unknown
June 1, 2026 – Present
Google Cloud Certified - Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with AI-driven e-commerce platforms and their focus on measurable business outcomes (conversion lifts, revenue boosts, shopper engagement) align well with a results-oriented, innovative culture. Their work on diverse projects like AI Site Search, AI Shopping Assistant, and Merchant Portal demonstrates adaptability and a broad skill set. The target role 'Fullstack Engineer - AI' is a strong match for their recent experience.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams and direct client interaction, indicating good communication and teamwork skills. Their experience in leading feature development and resolving production issues suggests strong problem-solving and operational capabilities. The 'On the Spot Award' further supports recognition for outstanding contributions.