Louis Young
DevOps Engineer at Microsoft
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolLouis Young is a DevOps Engineer with nine years of hands-on experience building and operating cloud-native infrastructure, currently advancing platform reliability at Microsoft from his base in Oakland. His background spans software and network engineering roles at the Department of Defense, a junior data science stint, and an associate software engineer position at L3Harris, giving him a rare cross-domain perspective on secure, production systems. Trained in computer science with strong academic performance, he also sharpened practical coding skills at 42 School USA, signaling a commitment to peer-driven, project-based learning. Louis combines systems automation, CI/CD, and observability expertise with operational security awareness gained in defense environments, enabling pragmatic solutions for high-stakes deployments. Colleagues describe him as growth-oriented and driven by challenging problems that accelerate both team and company success.
9 years of coding experience
3 years of employment as a software developer
Computer Science, 3.6, Computer Science, 3.6 at Tusculum CollegeComputer Science, Computer Science, 3.6, Computer Science, Computer Science, 3.6 at North Carolina Agricultural and Technical State UniversityRavenscroft School
English
Github Skills (18)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
neural-network9
dqn8
reinforcement-learning8
q-learning7
scalable6
deep-reinforcement-learning5
experiences5
infrastructure3
Programming languages (3)
Github contributions (5)
youngalou/ft_printf
Apr 2017 - Jun 2017
Contributions:45 commits, 42 pushes, 1 branch in 1 month
youngalou/rab-bigtable-rl
Aug 2019 - Oct 2019
A decoupled Reinforcement Learning (RL) infrastructure that collects experience and stores it in bigtable, while a separate process samples experiences from bigtable for massive TPU training.
Contributions:145 commits, 1 PR, 130 pushes in 2 months
bigtablereinforcement-learninginfrastructureseparatedeep-reinforcement-learning
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