Luka Novak is a Senior AI Engineer with 10 years of experience building and shipping end-to-end machine learning systems that drive measurable business outcomes. With an MSc in Computer Science, he has led data science teams at Cantab π and PwC, delivering solutions from agentic RAG pipelines and OCR systems to next-best-action platforms that produced double-digit sales growth. He combines hands-on expertise in Python, XGBoost, TensorFlow, MLflow and cloud platforms with a strategic mindset for product and consulting contexts, often owning the entire ML lifecycle from data validation to deployment. Notable wins include a 30% sales uplift from an XGBoost-driven recommendation platform and an 80% reduction in setup complexity via automated customer journey modules. Luka’s background spans startups to Big Four consulting, giving him a knack for translating ambiguous business problems into robust, auditable models and governance practices. Curious and product-focused, he particularly enjoys projects at the intersection of AI, automation and real-world decision-making.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Zagreb / Sveučilište u Zagrebu
High school diploma Mathematics, High school diploma Mathematics at XV. gimazija
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