Marcus Loo
Software Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMarcus Loo is a versatile software engineer with 12 years of experience bridging research-grade reinforcement learning and production infrastructure engineering. Currently at Meta working on network infrastructure, he previously built CI/CD pipelines, testing frameworks, and automation for cloud and Kubernetes platforms at Palo Alto Networks while also conducting RL/robotics research at Georgia Tech focused on Learning from Demonstrations and Active Learning. Comfortable across backend systems, Golang/Python testing automation, and interactive visual systems, he brings both hands-on product delivery and deep academic grounding. Based in San Francisco, Marcus combines a practitioner’s emphasis on reliability with a researcher’s curiosity—he’s equally at home debugging CI pipelines as prototyping simulated robotic controllers.
12 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyPark Ridge High SchoolUPC Universitat Politècnica de Catalunya
English, German, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (92)
stable-baselines10
cpp10
wrapping10
deep-reinforcement-learning10
carla10
reinforcement-learning10
agent10
imitation-learning10
debug10
hosts10
reward10
proximal-policy-optimization10
linux9
ctrl9
cmake9
Programming languages (9)
Github contributions (5)
bitsauce/HoverLookup_ChromeExtension
May 2016 - Oct 2017
Google Chrome extension. Press <CTRL> + <SHIFT> while hovering over a word will show the wiktionary entry for that word in an inline window.
Contributions:1 release, 17 commits, 15 pushes in 1 year 5 months
shiftwiktionarygoogle-chrome-extensionpresswindow
bitsauce/Carla-ppo
Mar 2019 - Nov 2021
This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.
Contributions:40 commits, 7 PRs, 38 pushes in 2 years 8 months
multiagent-reinforcement-learningstable-baselinesgoaldeep-reinforcement-learningcarla
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