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Full-Stack Developer and AI Engineer specializing in scalable web applications and production-ready APIs using React/Next.js and Python/Node.js backends. Experienced with SQL/PostgreSQL and MongoDB, REST architecture, authentication, and performance optimization across dev and production environments. I also build LLM-powered systems including RAG, agentic workflows, chatbots, and workflow automation using LangChain/LangGraph, vector databases (ChromaDB, Pinecone), and tools like n8n and Copilot Studio—integrating AI into real products to deliver practical, intelligent solutions.…Full-Stack Developer and AI Engineer specializing in scalable web applications and production-ready APIs using React/Next.js and Python/Node.js backends. Experienced with SQL/PostgreSQL and MongoDB, REST architecture, authentication, and performance optimization across dev and production environments. I also build LLM-powered systems including RAG, agentic workflows, chatbots, and workflow automation using LangChain/LangGraph, vector databases (ChromaDB, Pinecone), and tools like n8n and Copilot Studio—integrating AI into real products to deliver practical, intelligent solutions.

Hamza Shahid

AI Engineer, Full Stack Developer, Web Developer, +2

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Full-Stack Developer and AI Engineer specializing in scalable web applications and production-ready APIs using React/Next.js and Python/Node.js backends. Experienced with SQL/PostgreSQL and MongoDB, REST architecture, authentication, and performance optimization across dev and production environments. I also build LLM-powered systems including RAG, agentic workflows, chatbots, and workflow automation using LangChain/LangGraph, vector databases (ChromaDB, Pinecone), and tools like n8n and Copilot Studio—integrating AI into real products to deliver practical, intelligent solutions.…Full-Stack Developer and AI Engineer specializing in scalable web applications and production-ready APIs using React/Next.js and Python/Node.js backends. Experienced with SQL/PostgreSQL and MongoDB, REST architecture, authentication, and performance optimization across dev and production environments. I also build LLM-powered systems including RAG, agentic workflows, chatbots, and workflow automation using LangChain/LangGraph, vector databases (ChromaDB, Pinecone), and tools like n8n and Copilot Studio—integrating AI into real products to deliver practical, intelligent solutions.

Available to hire

Full-Stack Developer and AI Engineer specializing in scalable web applications and production-ready APIs using React/Next.js and Python/Node.js backends. Experienced with SQL/PostgreSQL and MongoDB, REST architecture, authentication, and performance optimization across dev and production environments.

I also build LLM-powered systems including RAG, agentic workflows, chatbots, and workflow automation using LangChain/LangGraph, vector databases (ChromaDB, Pinecone), and tools like n8n and Copilot Studio—integrating AI into real products to deliver practical, intelligent solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Full Stack AI Developer at Mo Works B.V

May 1, 2025 - Present

Developed and maintained full-stack web applications using React, Next.js/TypeScript, Node.js, and Python. Built responsive frontends integrated with REST APIs, authentication, state management, and UI components. Implemented backend services with Django and FastAPI/Node.js including RESTful APIs, business logic, and third-party integrations. Worked with PostgreSQL/MySQL and MongoDB for schema design, optimized queries, CRUD operations, and data integrity. Built AI-powered applications using LangChain and LangGraph, including Retrieval-Augmented Generation (RAG), semantic search, and chatbot/multi-agent systems connected to vector databases (ChromaDB, Pinecone). Created workflow automation and backend integrations using n8n, webhooks, and scheduled jobs. Containerized and deployed services using Docker, with logging/monitoring and production infrastructure support. Rapidly prototyped features using AI-assisted tooling and refactored generated code into clean, maintainable React applic

AI Engineer (Client Johnson & Johnson) at Mo Works B.V

May 1, 2025 - Present

Designed and deployed production-ready AI solutions using LangChain, LangGraph, and FastAPI for LLM-powered chatbots, RAG systems, and multi-agent workflows. Built a Dutch-language chatbot for Genk city, integrating structured and unstructured knowledge bases; developed Copilot Studio agents for no-code/low-code orchestration; created multi-frontend interfaces (React, Next.js) and rapid-prototyped dashboards with Streamlit. Implemented Retrieval-Augmented Generation over academic/enterprise PDFs; engineered multi-agent appointment scheduling via LangGraph; built complex n8n automation workflows; integrated ChromaDB and Pinecone for embedding storage; established testing strategies with Pytest; owned end-to-end MLOps, including Docker, API deployment, monitoring, and performance optimization. Collaborated with product and business teams to ensure usability and scalability.

Full Stack Developer at Horizon Tech Services

March 1, 2024 - May 1, 2025

Developed AI-driven monitoring and analysis pipelines for anomaly detection using supervised learning. Labeled critical features for training and built anomaly detection workflows deployed with Python, Django, PostgreSQL, and Elasticsearch. Visualized anomalies on dynamic dashboards and triggered automated alerts on detected outliers. Also built production-ready full-stack applications using React, Next.js, TypeScript, and Django/Python. Implemented RESTful APIs with Django REST Framework, authentication/authorization with JWT, database schemas and query optimization in PostgreSQL, and search/filtering/analytics using Elasticsearch/OpenSearch. Built browser automation and web scraping solutions using Selenium, and containerized deployments using Docker, Nginx, and Gunicorn.

Full Stack AI Developer at Horizon Tech Services

March 1, 2024 - May 1, 2025

Developed and integrated AI-driven systems for internal monitoring and analysis, focusing on anomaly detection using supervised learning. Labeled critical data features, built anomaly detection pipelines with Django, PostgreSQL, and Elasticsearch; visualized anomalies via dashboards and automated alerts; designed APIs with Django REST Framework; performed web automation with Selenium; implemented JWT authentication and data encryption; deployed with Nginx and Gunicorn; optimized queries and data integrity; collaborated with frontend teams to optimize performance.