Alfredo Deza
Co-Founder at Pragmatic AI Labs
Marietta, Georgia, United States
Summary
🤩
RockstarAlfredo Deza is a seasoned cloud and systems engineer with 15 years of experience building resilient, automation-driven infrastructure and developer tools, now co-founding Pragmatic AI Labs to teach cloud and AI skills through hands-on projects. He previously scaled developer advocacy and cloud adoption as a Principal Cloud Advocate at Microsoft and led engineering efforts at Red Hat, where he dramatically sped up CI pipelines and led Ceph tooling and deployment initiatives. Alfredo blends deep open-source experience—contributions to Ceph test suites and ceph-deploy plus data-focused Jupyter notebooks—with practical product integrations and security-focused developer workflows. An Olympian and former pro-athlete turned technologist, he brings discipline and mentorship to teams and students alike, helping career switchers land roles at top tech firms faster. Based in Marietta, Georgia, he combines academic teaching as an adjunct with real-world engineering, making complex cloud and AI topics approachable and immediately applicable.
15 years of coding experience
17 years of employment as a software developer
English, Spanish, Portuguese, French, Italian, Galician
Stackoverflow
5,118reputation
297kreached
22answers
46questions
Github Skills (25)
unit-testing10
json10
pytest10
python10
testing10
file-validation10
data-structure10
amazon-s310
aws-s310
ceph10
data-structures10
jupyter-notebook10
s3-bucket10
test-automation10
serialization9
Programming languages (21)
Github contributions (5)
ceph/ceph-deploy
Jul 2013 - Apr 2019
Deploy Ceph with minimal infrastructure, using just SSH access
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:299 commits, 174 PRs, 149 pushes in 5 years 9 months
Contributions summary:Alfredo's contributions primarily focus on improving the testing infrastructure of the `ceph-deploy` repository. They fixed broken tests, ensuring the proper functionality of the CLI tests, particularly regarding error messages and command execution. Furthermore, they created and refactored test files, including the introduction of a "fakes" module and the restructuring of test functions to improve their reliability and maintainability. They also wrote tests for mon paths, showcasing proficiency in testing the deployment logic.
sshinfrastructureceph
alfredodeza/mapping-data
Oct 2021 - Feb 2022
Coursera Lesson 2: Mapping Data to Python
Role in this project:Data Scientist
Data ScientistContributions:8 commits, 1 PR, 9 pushes in 4 months
Contributions summary:Alfredo primarily contributed to the repository by adding and modifying Jupyter notebooks. These notebooks demonstrate the use of Python to work with data structures, including lists and tuples. The commits also show the implementation of data serialization and deserialization using the `json` module, involving loading, manipulating, and saving data to JSON files. The user appears to be focused on data manipulation and transformation tasks.
mappingpythondata-mapping
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