Summary
Iván González is a Senior Data Scientist based in Santiago with 8 years of experience designing and delivering production-grade AI and ML solutions across aviation, banking and mining. He combines a strong mechanical engineering foundation (M.Sc., Universidad de Chile) with hands-on expertise in ML engineering, model deployment, and CI/CD to turn complex operational problems into measurable business impact—examples include $4.5M energy savings in milling and automated handling of thousands of banking complaints monthly. At Thoughtworks and Accenture he has led RAG/LLM chatbot projects, fraud detection strategies for airline ticketing, and reliability programs that improved stockpile and equipment performance. He favors robust, reproducible pipelines (kedro, Docker, FastAPI, BigQuery, LangChain) and brings practical experience in embedding models into operational tooling and dashboards. Known for raising team coding standards and reproducibility, he also blends domain knowledge in mechanical systems with modern data stacks to solve asset-health and process-optimization problems. Outside core deliverables, he’s interested in the ethical application of AI and often focuses on translating physics-informed intuition into data-driven models.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, 6.7 out of 7.0, Master of Science - MS, Mechanical Engineering, 6.7 out of 7.0 at Universidad de Chile