Core Skills

• 🤖 AI & LLMs: OpenAI (GPT-4, GPT-5), Claude, LangChain, LangGraph, LLMs, Local LLMs, RAG, Prompt Engineering, AI Agents, Agentic AI Development
• 🎙️ Voice AI: Vapi.ai, TTS, Whisper, AI Voice Agents
• ⚡ Automation: n8n, Make.com, Zapier, AI Workflow Automation, custom webhooks
• 👨‍💻 Backend: Node.js, NestJS, FastAPI, TypeScript, Python, REST APIs, SSE
• 🔭 Frontend: Next.js, React, Tailwind CSS
• 🗄️ Database: Supabase (PostgreSQL), MongoDB, SQL Server, Chroma, Redis
• ☁️ Infra: Vercel, Docker, Google Cloud, Azure API Management, Azure Key Vault, CI/CD
• 🔧 CRM & Tools: GoHighLevel (GHL), HubSpot

Featured Projects

RAG Explorer v2

A full-stack RAG (Retrieval-Augmented Generation) learning project built with the modern Python AI stack. Upload documents, ask questions, and watch the entire pipeline execute live - with technique toggles to compare retrieval strategies.

Layer	Stack
Frontend	Next.js 16 + Tailwind + shadcn/ui - Vercel
Backend	FastAPI + LangChain + LangGraph - Fly.io / Railway
Storage	PostgreSQL + Chroma (vectors) + Redis

Pipeline: query -> [classify] -> [retrieve: naive | hybrid | multi-query | HyDE] -> [rerank] -> [generate + citations] -> SSE stream -> UI