Summary
Christopher Mirabzadeh is a Senior/Principal Data Scientist and AI Architect with a decade of experience building production-grade ML systems and data platforms from Spokane, WA. He designs high-impact solutions end-to-end—authoring autonomous model orchestration, agent-based NLP pipelines, and enterprise deployment systems that cut third-party vendor spend by six figures. His work spans AutoML, entropy-based feature frameworks, and user-facing APIs that let non-technical teams query advanced analytics via natural language. At Aon and Microsoft-focused projects he drove breakthroughs in predictive accuracy, IP valuation, and entity resolution, and has multiple patents filed for document analysis architectures. Trained as a physicist (PhD/MSc), he brings rigorous experimental thinking to ML engineering and a history of turning research-grade ideas into cost-efficient, client-ready products. Notably, he independently built a wealth-estimation model rivaling commercial $100K+ solutions, demonstrating uncommon product-minded delivery at low operational cost.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, GPA 3.4/4.0, Bachelor of Science (B.Sc.), Physics, GPA 3.4/4.0 at Valdosta State University
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Idaho
Spanish, English