Summary
Alexandre Heine is a systems analyst and computer engineer with nine years of hands-on experience building web backends, ETL pipelines and NLP solutions, currently applying ML and LLM techniques at Quantum Finance. A PUC-Rio master's candidate, he has led full-stack projects in Django/Flask and Java backends, and spearheaded social-media data collection and analysis efforts while at the BioBD lab. His work blends practical production engineering—database design (SQL/NoSQL), crawlers and backend services—with research in data science for social networks. Notably, he transitioned from academic research to industry ML products, focusing on document reading and information extraction in production contexts. Fluent in Python and experienced with ML/NLP toolchains, he pairs deep technical curiosity about LLMs and deep learning with a track record of shipping reliable systems.
9 years of coding experience
5 years of employment as a software developer
Pontifical Catholic University of Rio de Janeiro