I am a Full-Stack AI Engineer specializing in bridging the gap between Large Language Models (LLMs) and production-grade, scalable software products. My focus lies in designing robust backend pipelines, multi-platform applications, and responsive, interactive user experiences.
- 🧠 AI & LLM Systems: Production RAG pipelines, Vector Search indexing, Model Context Protocol (MCP), and Agentic tool workflows.
- ⚡ Full-Stack Engineering: High-performance web apps with Next.js (App Router), TypeScript, Python, and Supabase/PostgreSQL.
- 📱 Multi-Platform Ecosystems: Seamless cross-platform experiences across Web, Desktop (Electron), and Mobile.
- 🎯 Currently Building: Masar X — an AI-powered study and knowledge orchestration ecosystem.
| Project | Tech Highlights | Key Engineering Achievements | Status |
|---|---|---|---|
| Masar X | Next.js Supabase pgvector Electron RAG |
Multi-platform study ecosystem featuring semantic PDF search, vector document indexing, and sub-second latency streaming responses. | 🚀 Active |
| Interactive SaaS & UI Platform | React Next.js TypeScript Framer Motion WebSockets |
High-performance interactive platform with 15+ Framer Motion mechanics, real-time WebSocket messaging, dual-theme engine, and role-based admin panel. | ✨ Live |
| AI Pipelines & Agentic Tooling | Python TypeScript MCP LangChain LLM Evals |
Production-ready AI agent pipelines integrating Model Context Protocol (MCP), automated LLM evaluation workflows, and optimized prompt pipelines. | 🛠️ Maintained |
| Developer Portfolio | Next.js Tailwind CSS TypeScript Vercel |
Modern, responsive developer portfolio engineered for speed, clean UX architecture, and dynamic content delivery. | 🌐 Deployed |
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⚡ Engineered with passion by Ahmed (FOTE)