Alan Cheng

R&D Network Design & Information Security

South Brunswick, New Jersey, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Alan Cheng is a seasoned network and security engineer with over two decades of hands-on experience and eight years focused on R&D network design and information security at Bloomberg. He blends deep expertise in firewalls (Checkpoint, Palo Alto), Juniper VPNs and routing, UNIX/Linux systems administration, and specialized security appliances like FireEye and Radware into designing and defending large-scale financial market data infrastructures. At Bloomberg he has led network engineering for News operations across AMER and coordinated global maintenance, capacity planning, and critical account escalations. His background includes early roles at Bell Labs and the Institute for Advanced Study, giving him a strong foundation in UNIX and wireless systems that informs his pragmatic, resilient designs. Unusually for a network engineer, he also engages with astrophysics data work on GitHub, reflecting a curiosity-driven approach to extracting insights from complex datasets. Based in New Jersey, he is adept at bridging operational reliability, security policy implementation, and cross-regional technical collaboration for mission-critical environments.
code8 years of coding experience
job17 years of employment as a software developer
bookB.S., Electrical and Computer Engineering, B.S., Electrical and Computer Engineering at University at Buffalo
github-logo-circle

Github Skills (12)

transform10
synthetic10
atmosphere9
grid8
gaia8
python7
interpolation7
version-control3
git-lfs2
github2
git2
java1

Programming languages (3)

ShellRoffJupyter Notebook

Github contributions (5)

github-logo-circle
SihaoCheng/WD_models

Jul 2019 - Nov 2022

I provide a python package for transformations between WD photometry (Gaia, SDSS, WISE, and many more) and physical parameters, based on interpolation of existing atmosphere grid and cooling models. If you use this tool, please cite this website and the corresponding papers of atmosphere grid (synthetic colors) and cooling models.
Contributions:2 releases, 241 commits, 240 pushes in 3 years 4 months
parameterspythonphotometryphysicalgaia
Contributions:388 commits, 450 pushes, 3 branches in 2 years 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Alan Cheng - R&D Network Design & Information Security