BM SHARATH SHIVACHARYA
AI Automation Engineer & Full-Stack E-commerce Developer
New to Contra
BM SHARATH is ready for their next project!
Loom – AI-Powered RAG Product Assistant
Designed and implemented "Loom," a context-aware AI chatbot system for an electronics e-commerce platform. The project involved building a Retrieval-Augmented Generation (RAG) pipeline that allows the AI to "read" technical product manuals and metadata to provide instant, accurate support to customers. This reduced manual support tickets by providing real-time technical guidance based on a library of 5,000+ SKUs.
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Slate – AI Content & SEO Automation Tool
Developed "Slate," a custom Chrome extension designed to automate high-volume content creation for Magento-based stores. The tool uses AI to generate structured product descriptions, short descriptions, and SEO meta-tags directly within the browser. This system streamlined the cataloging process for over 5,000 products, ensuring consistent brand voice and optimized search engine rankings.
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Magento 2 Checkout & Zoho ERP Integration
Architected a high-conversion checkout experience for a large-scale electronics store. This included a complete redesign of the Magento 2 checkout layout for better pricing transparency and the development of the "Probots Order Tracking API." I integrated the store with Zoho Books to fetch real-time order statuses, digital invoices, and payment updates directly into the customer dashboard.
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Pulse – AI Email Automation Extension
Created "Pulse," a specialized Chrome extension that uses AI to draft professional, contextually relevant emails. The tool features advanced prompt control, allowing users to adjust the tone and intent of communications based on the recipient's history and specific business needs.
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Urban Style – End-to-End E-Commerce Launch
Managed the full Software Development Lifecycle (SDLC) for "Urban Style," a Bangalore-based fashion brand. I handled everything from initial requirement gathering and theme customization to the implementation of payment gateways and product management systems. The project concluded with a successful deployment on cloud infrastructure, resulting in a fully responsive, high-performance shopping site.
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