Alban Mountou

Durham, North Carolina, United States

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Summary

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Rockstar

🎓

Top School

Alban Mountou is a cybersecurity specialist and network engineer with a decade of hands-on experience across federal, enterprise, and lab environments in the Washington DC–Baltimore area. He has deep practical expertise in network infrastructure (Cisco, Brocade, Ruckus), routing protocols, VLAN/VRF, and automation using Python, plus solid familiarity with cloud, Linux, Windows, and virtualization stacks. His background includes securing and troubleshooting complex lab and production networks at Cisco, Dell EMC, and Charter, and he now applies that foundation to cyber defense work for the United States Department of War. An active contributor to open-source, he fixed memory leaks and added sensor/logging improvements to the high-profile SMARTS autonomous driving project, demonstrating an eye for reliability and resource management. Alban pairs technical breadth with formal study in information security (MTech and systems security coursework) and a record of improving operational resilience through documentation, automation, and hands-on remediation. He’s particularly skilled at turning low-level troubleshooting into repeatable, automated solutions that scale across teams.

10 years of coding experience

2 years of employment as a software developer

System security, Information Technology, System security, Information Technology at Alamance Community College

IT master, Security of Information and Electronic Payment Systems, IT master, Security of Information and Electronic Payment Systems at I.S.I

Master of Technology - MTech, Information Technology, Master of Technology - MTech, Information Technology at North Carolina Agricultural and Technical State University

Network and System license, Administration of networks and systems administrator, Network and System license, Administration of networks and systems administrator at E.S.G.A.E

French, English

Github Skills (5)

debug10

tensorflow10

performance-optimization10

python10

reinforcement-learning9

Programming languages (3)

C++HTMLPython

Github contributions (5)

huawei-noah/SMARTS

Oct 2020 - Jan 2023

Scalable Multi-Agent RL Training School for Autonomous Driving

Role in this project:

Back-end Developer

Contributions:34 releases, 1642 reviews, 1572 commits in 2 years 4 months

Contributions summary:Alban primarily addressed issues related to memory leaks and other bugs within the `smarts` project. They identified and fixed scenarios where envision logs were not properly handled, and also resolved cases where envision failed to connect or where scenario iterators were caching scenarios, leading to potential resource exhaustion. Additionally, the user added functionality to provide accelerometer sensor data and updated the environment to use a per-user log file. They also contributed to upgrades to the tensorflow versions and several versioning changes to the repository.

pytorchscalablepythonautonomousagent

smarts-project/smarts-project.build

Jul 2022 - Apr 2024

Contributions:23 pushes in 1 year 9 months

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