Summary
Heitor Chang is a Senior Back-End Engineer with 12 years of experience building data-driven systems and full-stack applications, specializing in Python, PostgreSQL, and JavaScript. He has turned scientific and legacy code into production-ready Python modules—most recently converting Fortran volcanic models and building an automated radar-processing pipeline for weather forecasting. Comfortable across the stack, he designs REST APIs with FastAPI, deploys services on Google Cloud, and architects geospatial and forecasting databases for meteorological and hydroelectric use cases. His personal projects span data visualization, double-entry accounting, GUI automation, and language-learning apps, reflecting a pragmatic focus on tools that organize life and work. Trained in mathematical and computational sciences with advanced degrees in materials science and financial mathematics, he blends strong quantitative thinking with practical engineering. Colleagues would notice his habit of creating small domain-specific languages and static-site tooling to simplify complex front-end interactions and documentation.
12 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Financial Mathematics, Master of Science (MS), Financial Mathematics at New York University
Bachelor of Science (BS), Mathematical and Computational Sciences, Bachelor of Science (BS), Mathematical and Computational Sciences at Stanford University
English, Italian, Portuguese