Agentic AI & Data Science Consultant
Danish Agentic SolutionsDec 2018 – Sep 2024Remote
- Developed AI, machine-learning, data-analysis, and application projects across practical use cases.
- Prepared, cleaned, and analyzed structured datasets for exploratory analysis, predictive modelling, regression, and classification use cases.
- Built document Q&A and Retrieval-Augmented Generation (RAG) systems that ground responses in retrieved source material.
- Developed AI-engineering workflows with the OpenAI SDK, LangChain, and LangGraph, including tool-using agents and stateful application flows.
- Created FastAPI and Streamlit applications that turn analytical models and AI workflows into accessible user-facing tools.
- Worked with vector retrieval, FAISS, and Model Context Protocol (MCP) concepts for connected, context-aware AI applications.
Technologies
PythonOpenAI SDKLangChainLangGraphFastAPIStreamlitFAISSTensorFlow
Focus Areas
Data cleaning and exploratory analysisRegression and classificationAI engineeringRetrieval-Augmented Generation (RAG)Document Q&A systemsRetrieval-grounded assistantsOpenAI SDK integrationsLangChain workflowsLangGraph agent workflowsModel Context Protocol (MCP)