Summary
Chris Boubouras is an Applied AI Engineer and independent consultant with nine years of experience building full-stack AI products and production-grade data pipelines. He has hands-on expertise in LLM-driven systems, RAG, OCR, NER, large-scale web scraping and evaluation, and has applied these skills to privacy-first legal search, trading QA, and robotic IoT projects. As a co-founder and former startup builder, he moves rapidly from prototype to near-launch—demonstrated by a commercial robotic flower and a confidential-document retrieval platform based on open-source models. Comfortable across research, engineering, and product roles, he blends academic rigor from Ionian University with practical apprenticeship and accelerator experience. Based in Heilbronn, Germany, he favors pragmatic, privacy-conscious AI solutions and often leverages open-source tooling and custom pipelines to scale model-driven applications. An uncommon thread in his background is combining field data automation for biological research with modern LLM architectures, reflecting a knack for translating domain data into robust ML products.
9 years of coding experience
5 years of employment as a software developer
42 Heilbronn
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Ionian University
Greek, English