Charles N.

Are you looking for support in building robust data pipelines, in Python backend development, OCR integration, or document-based AI workflows? I help companies to structure, automate, validate, and utilize heterogeneous documents and data sources for analysis, classification, reporting, or model evaluation.

My focus is on Python, SQL, ETL automation, data quality, data validation, dashboards, and documented data flows. I develop pragmatic solutions that not only work technically but are also understandable, maintainable, and comprehensible for business users.

I am particularly strong in projects involving document processing and process automation: OCR workflows with Tesseract/OpenCV, image preprocessing, automatic document classification, pseudonymization of sensitive data, structured data extraction, simple operator dashboards, and automated PDF or audit reports.

With my own applications DocuFisc and Amtklarpro, I have already implemented AI-supported document solutions: Invoices, official letters, and PDFs are analyzed, relevant information is extracted, deadlines or content are recognized, and translated into understandable results. This means I bring not only theoretical knowledge but also practical implementation experience from idea to usable application.

Typical projects I undertake: Building data pipelines, backend development with Python, automating manual processes, OCR and document workflows, data cleaning, validation logic, reporting, dashboards, audit documentation, and support for AI or machine learning evaluations.

I work in a structured manner, document cleanly, and think solution-oriented. My goal is to transform complex data and documents into clear, automated, and reliable processes.