Summary
Csanád Póda is an ML/AI Architect based in Budapest with 10 years of experience building and scaling data-driven solutions across enterprise and product contexts. At Kontron Hungary he leads AI portfolio development, delivering impactful projects such as a sales-opportunity predictor that outperforms current processes and a transformer-based, OCR-free invoice extractor that cut accounting time by 80%. His background spans hands-on modeling (scikit-learn, PyTorch), MLOps on Azure, and solution validation, informed by prior roles in data science, program management and people leadership at Deutsche Telekom and GE. Founder of the Machine Learning Budapest podcast and community, he blends technical delivery with knowledge-sharing and ecosystem building. He also pairs technical depth with business insight from an executive business analytics program, which helps him bridge pre-sales, strategy and implementation. Notably, he has repeatedly moved proofs-of-concept into production-scale workflows, demonstrating a rare combination of product impact and community stewardship.
10 years of coding experience
4 years of employment as a software developer
Executive Degree Business Analytics, Executive Degree Business Analytics at Indiana University - Kelley School of Business
Bachelor of Science (BSc) Information Technology, Bachelor of Science (BSc) Information Technology at Eötvös Loránd University
English, German, Slovak, Hungarian