A personal portfolio built with Next.js, React, Three.js, and GSAP to showcase interactive web applications, 3D visuals, and frontend experiments. Includes a clean layout, global styles, and an initial homepage—ready for adding project demos and case studies.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
Acme Dashboard project made from Next.js learn course.
AI-powered Shopify operations with human-controlled execution.
AI-powered PDF & CSV analysis assistant using Groq LLM, Supabase, and RAG pipeline with interactive Streamlit UI.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
A production-grade, cloud-native, token-secured intake and confirmation system engineered with Next.js & TypeScript, integrates Supabase Storage/Postgres, and n8n webhooks, enables structured data capture, real-time workflow orchestration, validated submissions, dynamic file processing, and scalable automation across distributed event pipelines.
A production-grade, cloud-native, token-secured intake and confirmation system engineered with Next.js & TypeScript, integrates Supabase Storage/Postgres, and n8n webhooks, enables structured data capture, real-time workflow orchestration, validated submissions, dynamic file processing, and scalable automation across distributed event pipelines.
A full-stack Next.js practice project focused on authentication, route protection, meal sharing, and production-ready flow design.
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