Guilherme Lacerda is an engineering manager with 9 years of hands-on experience building and leading backend-first teams, currently shaping a real-world health data platform at Promptly Health. He combines deep backend expertise in Python, Django/Flask, Docker and GCP with practical DevOps experience—evidenced by Elasticsearch/Kibana integration and dashboard automation for an open-source Rasa chatbot boilerplate. As a former technical lead and senior engineer he routinely designs scalable APIs, integrates medical devices and guides architecture decisions while still contributing to critical code paths. Based in Brasília, he blends product-minded engineering with infrastructure fluency and a track record of shipping reliable data-driven systems for healthcare and public-sector users.
9 years of coding experience
6 years of employment as a software developer
Graduation, Software Engineering, Graduation, Software Engineering at Universidade de Brasília
Um template para criar um FAQ chatbot usando Rasa, Rocket.chat, elastic search
Role in this project:
DevOps Engineer
Contributions:19 commits, 5 PRs, 18 pushes in 1 month
Contributions summary:Guilherme focused on integrating Elastic Stack (Elasticsearch and Kibana) into the project, evidenced by updates to Dockerfiles and configuration files. They updated the Elasticsearch and Kibana versions, set up an index pattern, and configured dashboard imports. They also incorporated Python scripts to facilitate dashboard import, indicating a focus on infrastructure management and integration with other tools.
Contributions:18 commits, 10 pushes, 1 branch in 1 day
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Guilherme Lacerda - Engineering Manager at Promptly Health