Independent IT consultant and developer with a background in Python, data, AI, and SAP. Focused on applied AI and data engineering in Python — ETL/data pipelines, LLM-powered workflows, API integrations, and automation.
Practical AI built into real workflows — LLM-powered features (document Q&A / RAG, text extraction, classification, entity matching) and classic ML where it fits (e.g. topic modeling). Focused on reliability and measurable results, integrated with your existing systems.
Design and implementation of automations — scheduled jobs, event-driven workflows, and system-to-system sync via APIs — to streamline business processes, reduce manual work, and improve operational efficiency.
Cleaning, structuring, and consolidating messy data into reliable datasets that support automation, reporting, and AI-assisted decision-making.