Kris Tziritas
Senior Machine Learning Engineer @Multiverse Computing
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WORK HISTORY
Senior Machine Learning Engineer @Multiverse Computing
Own end-to-end development and technical leadership of production ML systems across finance and healthcare, from problem formulation and model design to deployment and monitoring, while setting MLOps standards and guiding architecture decisions.• Leading the development of a secure GenAI chatbot platform for a pharmaceutical client, combining RAG over heterogeneous clinical documents with an LLM-based SQL agent to enable retrieval across structured and unstructured clinical data.
EDUCATION
Université de Montréal
MSc, Mathematical and Computational Finance
UQAM | Université du Québec à Montréal
MSc, Mathematics and Statistics
ABOUT KRIS TZIRITAS
Senior ML engineer and data scientist with 9+ years of experience building production-grade machine learning systems across financial services and generative AI applications. Experienced in leading end-to-end ML initiatives from problem framing and data strategy to modeling, deployment, and monitoring, with a focus on measurable business impact.Strong background in mathematics and statistics, with particular expertise in applied machine learning, GenAI applications, and translating complex technical work into practical decisions for stakeholders.Known for combining technical depth and rigor with practical execution. Delivers solutions that are robust, explainable, and effective in real-world settings, aligning engineering execution with business objectives in high-ambiguity environments.
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