Ramin Eghbalzadeh

WORK HISTORY

EDUCATION

SKILLS

ABOUT RAMIN EGHBALZADEH

I work at the Intact DataLab where I focus on the intersection of actuarial science and machine learning. My work centers on building governed AI and ML systems that standardize claim workflows, improve operational efficiency, and automate high‑touch manual processes across the insurance value chain.With a PhD-level background in Actuarial Financial Mathematics and hands-on experience in modern MLOps, I bridge the gap between research-grade modeling and production-ready solutions. My work spans model governance, LLM-based automation, and scalable ML frameworks that keep actuarial rigor at the core.Impact areas:Process standardization — ML frameworks that create unified, data-driven claim flows.AI-driven efficiency — LLM agents and ML tools for settlement assistance and document extraction.Actuarial governance — Audit-ready, reproducible, and standards-aligned ML models for high-stakes decisions.I’m energized by solving complex technical problems that move the business forward and by mentoring emerging talent to strengthen our team’s engineering and analytical capabilities.Technical stack: Python, Amazon SageMaker, MLOps, LLM integration, financial modeling.