Summary
Gabriel Hardoim is a Python-focused software engineer from Rio de Janeiro with eight-plus years automating processes, building ETLs and deploying AI-powered multi-agent workflows across finance, telecom and enterprise clients. He combines hands-on backend work (FastAPI, Flask, Docker, AWS Lambda) and data tooling (Pandas, SQL Server/Oracle/Postgres, Grafana) with practical DevOps experience (Ansible, Jenkins, Rundeck) to turn manual reporting into reproducible pipelines. Recent roles at Meta and GPH highlight his work with LLMs, LangChain/LangGraph and async architectures, as well as mentoring juniors via pair programming. He regularly translates legacy VBA and Excel automations into robust Python libraries and CLIs, demonstrating a knack for pragmatic migrations that improve performance and observability. Comfortable in English and experienced in cross-functional teams, he also brings personal perspective and resilience as a developer with an upper-limb congenital deformity, which informs his collaborative and accessibility-minded approach.
8 years of coding experience
4 years of employment as a software developer
English, English at Times Idiomas
Estácio de Sá University
English