Leandro Moreira
Senior Software Engineer at Uber
Greater São Paulo Area Brazil
Summary
🤩
Rockstar🎓
Top SchoolLeandro Moreira is a Senior Software Engineer with 14 years building and operating large-scale streaming and distributed systems from São Paulo, Brazil. He has led live video platforms at Globo and contributed machine-learning-backed APIs at Shopify before joining Uber, bringing deep expertise in HLS/DASH, Golang, Python, Nginx/Lua and cloud-native tooling. Leandro is a hands-on technical leader who bridges backend, DevOps and media engineering—his open-source work ranges from building a CDN from scratch to practical FFmpeg and HLS tooling used by media engineers. He’s comfortable reversing complex performance problems, having implemented consistent-hashing load balancing, client/server metrics pipelines and automated media build processes. Colleagues rely on him for pragmatic design that scales to millions of viewers while keeping observability and testing central to delivery.
14 years of coding experience
20 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at Universidade Salgado de Oliveira
English, Portuguese, Spanish
Stackoverflow
377reputation
20kreached
12answers
11questions
Github Skills (46)
parserator10
javascript10
docker10
parser10
python10
video-processing10
testing10
cdn10
bash10
load-balancing10
openresty10
ffmpeg10
c1110
dockers10
c1710
Programming languages (22)
Github contributions (5)
leandromoreira/digital_video_introduction
Jan 2017 - Oct 2022
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:2 releases, 25 reviews, 291 commits in 5 years 9 months
Contributions summary:Leandro contributed significantly to setting up and maintaining the project's infrastructure and build processes. Their commits include scripts for cleaning Docker images, installing dependencies, and automating video downloads and processing. Additionally, they added and configured various tools for performance and quality analysis within a Dockerized environment, focusing on streamlining workflows.
h264videodashframe-typeshandson
globocom/m3u8
Aug 2014 - Sep 2022
Python m3u8 Parser for HTTP Live Streaming (HLS) Transmissions
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 releases, 55 reviews, 108 commits in 8 years 2 months
Contributions summary:Leandro primarily contributed to the development and maintenance of the `m3u8` Python library for parsing HLS streams. Their work includes adding Python 3 support, fixing version-related issues, and introducing new features like program date-time attributes. They also made adjustments to the code, improved documentation and included new test cases for ensuring the library's functionality. They also bumped the version to reflect the changes in the code.
pythonm3uplsstreaminghls-stream
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