Summary
Cecília Assis is a versatile Backend and Machine Learning Engineer with 11 years of experience building production-ready systems across Python/Django, Ruby on Rails, JavaScript and cloud platforms, and 1.5 years focused on ML pipelines and model deployment. She has repeatedly optimized critical analytics workflows—cutting Simplex model runtimes from an hour to under five minutes—and built tooling that measurably increased team productivity and model accuracy. Beyond engineering, she founded and runs educational investment content and coaching through Universidade do Dinheiro, generating 10M+ views and guiding hundreds of students and clients to financial fluency. Comfortable bridging research and product, she brings academic rigor from an MSc in Computer Science to pragmatic, well-documented code and cross-functional collaboration. A penchant for simplifying complexity shows in reusable Python packages and data orchestration solutions that empower non-experts to leverage ML and finance data.
11 years of coding experience
7 years of employment as a software developer
Information systems, Information Technology / Information Systems, Information systems, Information Technology / Information Systems at Universidade Federal de Uberlândia - UFU
Master of Computer Science - MSc., Descriptive Learning (Artificial Intelligence Explanability) through Subgroup Discovery., Master of Computer Science - MSc., Descriptive Learning (Artificial Intelligence Explanability) through Subgroup Discovery. at Universidade Federal de Minas Gerais
Portuguese, English, Spanish