Eduardo Apolinario
Principal Software Engineer at Microsoft
Greater Orlando United States
Summary
🤩
Rockstar🎓
Top SchoolEduardo Apolinario is a Principal Software Engineer with 10+ years building and hardening large-scale distributed systems across Microsoft, Facebook, Lyft, and fast-moving OSS at Union.ai. He blends deep backend and MLOps expertise with developer-experience improvements—authoring RFCs, improving SDK ergonomics, and shipping local caching and execution features for the Flyte project. At Union.ai he led the Flyte OSS team as tech lead and maintainer, improving CI stability, release cadence, and contributor onboarding while translating production pain points into platform features. His background spans service mesh and edge networking, real-time indexing pipelines, and client-side test infrastructure, giving him a rare cross-domain view of reliability and performance. Based in Greater Orlando, he pairs hands-on coding and documentation (notably contributing to Flyte/Flytekit docs and SDK) with mentoring and hiring to scale engineering teams effectively.
10 years of coding experience
18 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal de Pernambuco
English, Portuguese
Stackoverflow
105reputation
16kreached
4answers
3questions
Github Skills (18)
caching10
flyte10
python10
sphinx10
mlops10
documentation10
pytest8
kubernetes7
kubernetes-pods7
asp-net6
emacs6
math6
jquery6
algorithm6
zoho6
Programming languages (15)
Github contributions (5)
flyteorg/flytekit
Aug 2021 - Jan 2023
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:109 releases, 1239 reviews, 655 commits in 1 year 5 months
Contributions summary:Eduardo significantly contributed to the `flytekit` Python SDK, focusing on enhancements related to local caching and improvements to the execution environment. They implemented a local caching mechanism utilizing the `diskcache` package to improve performance and introduced features for efficient local execution. The user also made changes to support environment variables within the pod specification, improving the overall flexibility of task execution. Their contributions also included code quality improvements such as code formatting and type hinting.
flytepythondataflyte-taskspypi
flyteorg/flyte
Oct 2021 - Jan 2023
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Role in this project:Technical Writer
Technical WriterContributions:1 release, 626 reviews, 52 commits in 1 year 3 months
Contributions summary:Eduardo primarily contributed to the project's documentation, focusing on the "Getting Started" guide. Their commits involved updating the guide to reflect changes in the `pyflyte init` command, fixing formatting, and refining the examples. Additionally, the user updated the copyright year in the documentation's configuration file. They also updated the getting started guide to use the new style of `pyflyte run` command.
pythondatamission-criticalgrpcproduction-grade
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