High-Performance E-Commerce Platform | Scalable MERN Stack & Admin Suite
The Opportunity:
Own a professionally engineered e-commerce ecosystem. This sale includes the customer-facing storefront and a comprehensive, custom-built Admin Dashboard for total operational control.
Technical Assets:
Architecture: Clean, modular MERN stack codebas easy to scale, maintain, and customize.
Dynamic Features: Integrated authentication logic, real-time inventory tracking, and advanced API structures.
Styling: Modern utility-first CSS (Tailwind) ensuring lightning-fast load times and pixel-perfect design on all devices.
Turnkey Ready: Fully configured and ready for immediate deployment to your preferred hosting environment.
You don't need to be a full-stack engineer to build custom digital products, but knowing basic HTML, CSS keyframes, and JavaScript webhooks will give you superpowers in:
𝗪𝗼𝗿𝗱𝗣𝗿𝗲𝘀𝘀: 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗦𝗦,𝗛𝗧𝗠𝗟 & 𝗦𝗵𝗼𝗿𝘁𝗰𝗼𝗱𝗲𝘀
𝗙𝗿𝗮𝗺𝗲𝗿: 𝗙𝗿𝗮𝗺𝗲𝗿 𝗖𝗼𝗱𝗲
𝗪𝗶𝘅: 𝗪𝗶𝘅 𝗖𝗼𝗱𝗲 (𝗩𝗲𝗹𝗼) 𝗮𝗻𝗱
𝗦𝗵𝗼𝗽𝗶𝗳𝘆: 𝗟𝗶𝗾𝘂𝗶𝗱 𝗖𝗼𝗱𝗲.
All allows you to create custom API forms, micro-animations, and tracking pixels that standard builder blocks can't do.
I built an AI-powered research intelligence platform that helps analysts and business teams query complex datasets through a single conversational interface.
𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦
Research teams often work across disconnected databases, reports, spreadsheets, dashboards, and documents. This slows analysis, makes cross-source searching difficult, and can reduce trust in AI-generated answers.
𝐓𝐡𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧
The platform combines RAG, AI agents, natural-language-to-SQL, structured and unstructured retrieval, source attribution, confidence scoring, and evaluation pipelines.
Users can ask a business question in natural language, and the system decides whether to search documents, query databases, run SQL, or combine multiple sources before returning an evidence-backed answer.
𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞
The system evaluates answer correctness, retrieval quality, SQL accuracy, source relevance, hallucination risk, and response performance. Low-confidence results are captured for review and continuous improvement.
The frontend is built with React + TypeScript and includes AI chat, dataset exploration, source references, analytics, evaluation dashboards, and real-time updates.
𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐕𝐚𝐥𝐮𝐞
The platform helps teams analyze data faster, reduce manual SQL work, improve trust in AI outputs, and uncover insights across multiple data sources.