Summary
Rodrigo Campisi is a Machine Learning Engineer with 11 years of experience building data-driven solutions at ExxonMobil, where he has progressed from IT intern to ML engineer delivering data pipelines, optimization models and internal data apps using Databricks, Snowflake, Python and Streamlit. He combines a strong software engineering foundation in .NET/C# and Azure with hands-on ML production skills, frequently collaborating with users to gather requirements and streamline processes through automation. Known for spotting improvement opportunities, he has delivered automated license installers and cloud tools for raw exploration data, and presented work to senior leadership early in his career. Based in Argentina and trained at Universidad de Buenos Aires, he thrives in cross-functional teams and continuously seeks new techniques to turn complex data into practical, impactful solutions.
11 years of coding experience
4 years of employment as a software developer
Ingeniería, Computer Science, 7.5, Ingeniería, Computer Science, 7.5 at Universidad de Buenos Aires
English