Miguel Morales
Associate Fellow
Littleton, Colorado, United States
Summary
👤
Senior🎓
Top SchoolMiguel Morales is an accomplished software and machine learning engineer with 11 years of experience, currently an Associate Fellow at Lockheed Martin and a PhD candidate at Georgia Tech. He blends production-grade engineering with deep expertise in reinforcement learning and robotics, authoring "Grokking Deep Reinforcement Learning" and contributing model code and notebooks to its public repository. A seasoned mentor and instructor, he has taught and redesigned RL coursework for large classes while developing content for Udacity’s Deep RL nanodegree. Miguel’s background spans embedded and firmware work to large-scale ML systems, and he actively contributes to open-source tooling (notably enhancements to the widely used bash-it framework). Based in Littleton, Colorado, he specializes in putting AI into robotic systems to solve real-world problems, pairing rigorous research with practical, deployable solutions.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia Institute of TechnologyBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Florida Atlantic UniversityAssociate of Arts (A.A.) Computer Science, Associate of Arts (A.A.) Computer Science at Broward College
Spanish, English
Stackoverflow
9,800reputation
5.8mreached
59answers
38questions
mysql
top-5%
scipy
top-5%
rubygems
top-5%
macos
top-5%
sympy
top-5%
passwords
top-5%
Github Skills (36)
pytorch10
python10
machine-learning10
bash10
alias10
plugin10
deep-reinforcement-learning10
jupyter-notebook10
shell10
mysql9
sympy9
rubygems9
ubuntu9
scipy9
json9
Programming languages (12)
Github contributions (5)
mimoralea/gdrl
Mar 2018 - Feb 2022
Grokking Deep Reinforcement Learning
Role in this project:
ML Engineer
ML EngineerContributions:164 commits, 8 PRs, 131 pushes in 3 years 11 months
Contributions summary:Miguel made a commit merging changes from the master branch, likely integrating recent updates. The changes include modifications to a Jupyter Notebook, indicating an effort to enhance, document, or debug code within the context of a deep reinforcement learning project, as indicated by the repository description. The inclusion of model-related code in chapter 4 highlights that the changes are directly related to implementing and testing machine learning models.
caffe2deep-reinforcement-learningchainerreinforcementdocker
Bash-it/bash-it
Apr 2015 - Oct 2015
A community Bash framework.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:22 commits, 10 PRs, 24 comments in 6 months
Contributions summary:Miguel made significant contributions to the `bash-it/bash-it` repository, focusing on enhancing user experience and functionality. They introduced several aliases and plugins, including those for clipboard management, terminal theming, syntax highlighting, and Python SimpleHTTPServer. The user also refactored existing code, improved documentation, and updated the codebase with features for code organization and user convenience.
bash-promptbash-completionbash-configurationproductivitybash-framework
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