Hamza S.

When data is scattered across APIs, databases, files, SaaS platforms, and cloud systems, it becomes difficult to build reliable analytics and AI applications. Manual workflows, disconnected systems, poor data quality, and inefficient pipelines can quickly become expensive to maintain. I build AI and data engineering solutions that turn fragmented data into reliable pipelines, automated workflows, and production-ready AI applications. 🚀 AI & Generative AI - AI agents and LLM-powered applications - RAG (Retrieval-Augmented Generation) - AI chatbots and knowledge assistants - LangChain, LangGraph, LlamaIndex - OpenAI and Anthropic APIs - Embeddings and vector databases - AI-powered workflow automation 🚀 Data Engineering - ETL/ELT pipelines and data integration - Data ingestion, transformation, cleaning, and validation - API, database, CSV/Excel, and SaaS integrations - Data modeling and data warehousing - Batch and automated data processing - Pipeline monitoring and error handling 🚀 Development & Automation - Python, FastAPI, Django - SQL, PostgreSQL, MySQL - Pandas, PySpark - REST APIs and integrations - Docker, Git, CI/CD - Cloud-based data and AI solutions I can help you go from raw data → reliable pipeline → analytics-ready data → AI-powered application. Whether you need to automate a workflow, build an ETL pipeline, integrate data sources, create a RAG system, develop an AI agent, or add AI capabilities to an existing application, I focus on solutions that are practical, maintainable, scalable, and production-ready. Have a data or AI project in mind? Send me the details and let's discuss what we can build.