I build full-stack web and mobile products end-to-end, and for the last two years most of that work has centered on integrating AI directly into real products.
Here's what that looks like in practice: AI-powered product photography (Qreates), an AI chatbot for farmers using OpenAI + LangChain (Croptalk), an AI copilot for a visual coding platform (Stax Fun), AI-based transcription on a live-streaming platform (EOS), and AI incident detection from live security footage (Patrol 6).
What I bring to a project:
1. Full-stack development with React, Next.js, Node.js, Express/NestJS, and FastAPI
2. AI integration: LLM chatbots and copilots (OpenAI, LangChain), AI-based automation, and AI-driven media processing
3. Cloud infrastructure on AWS (Lambda, ECS, S3, Kubernetes) with CI/CD pipelines
4. Real-time features with WebSockets, Pub/Sub, and streaming architectures
5. Databases: MongoDB, PostgreSQL, MySQL
6. Clean, documented, tested, production-ready code and clear communication throughout