Benardi Nunes
Senior Software Engineer at Caylent
Paraíba, Brazil
Summary
🤩
Rockstar🎓
Top SchoolBenardi Nunes is a Senior Software Engineer with 11 years of experience building scalable, privacy-conscious distributed systems and cloud services, currently accelerating customer outcomes at Caylent. He holds a MSc and BSc in Computer Science from UFCG and has production experience at Amazon where he contributed to logistics expansion in Brazil and owned critical accounting services. Benardi has deep expertise in AWS, API development, confidential computing, and deploying ML models under strict privacy constraints, gained through research and engineering roles at Laboratório de Sistemas Distribuídos and OpenMined. As a contributor and release manager to OpenMined’s PyGrid and PySyft ecosystems, he focused on documentation, release automation, cloud deployments, and differential-privacy tooling that make privacy-preserving ML more practical. He mentors engineers, drives operational robustness, and blends academic rigor with hands-on delivery—often translating research prototypes into hardened, cloud-ready systems. Based in Paraíba, Brazil, he pairs strong technical leadership with a pragmatic focus on ethics and data privacy that’s not always visible on typical engineering CVs.
11 years of coding experience
4 years of employment as a software developer
Colégio PanoramaMaster's degree, Computer Science, Master's degree, Computer Science at Universidade Federal de Campina Grande
Portuguese, English
Stackoverflow
3reputation
0reached
0answers
0questions
Github Skills (6)
python10
sphinx10
documentation10
api-documentation9
pbr9
pypi8
Programming languages (11)
Github contributions (5)
OpenMined/PySyft
Oct 2019 - Jun 2021
Perform data science on data that remains in someone else's server
Role in this project:
DevOps Engineer & Documentation Specialist
DevOps Engineer & Documentation SpecialistContributions:46 commits, 8 PRs, 42 pushes in 1 year 8 months
Contributions summary:Benardi primarily contributed to the project by setting up documentation infrastructure. Their work involved configuring Sphinx, integrating the rtcat theme, and enabling the use of Napoleon for Google-style docstrings. They also adapted the documentation to be served remotely and incorporated auto-API generation. Additionally, the user added build scripts and adjusted the project configuration for PyPI publication, indicating a focus on making the project ready for external use.
pytorchcryptographyacquiringpythonscience
Benardi/touvlo
Aug 2019 - Dec 2019
:robot: ML algorithms implemented from scratch and provided block by block
Contributions:1 release, 56 commits, 59 PRs in 4 months
pythonmachine-learningrobotml-algorithmsscratch
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