Shannon Shen
Lead Software Developer at CenturyLink
Lake Zurich, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolShannon Shen is a seasoned lead software developer with over two decades of IT experience and nearly two decades of Java expertise, currently architecting large-scale VOIP and messaging systems at CenturyLink. She combines hands-on coding with strategic leadership—running cross-country teams, managing budgets, and delivering mission-critical Java/Spring/WebService solutions in Agile environments. Shannon has a strong record of cost-saving technical leadership, from eliminating vendor dependencies to re-architecting systems for reuse and performance that saved her employers millions. Her contributions to open-source document image analysis tooling show a practical interest in ML-backed back-end components and geometric core utilities. With MS degrees from Peking University and Ohio State and deep experience in OSS activation and telecom provisioning, she turns complex network and integration challenges into reliable, production-ready systems.
9 years of coding experience
15 years of employment as a software developer
BS, MS, Computer Science, BS, MS, Computer Science at Peking UniversityMS, Computer Science, MS, Computer Science at The Ohio State University
English, Chinese
Github Skills (7)
computer-vision10
deep-learning10
object-oriented-programming10
python10
numpy10
opencv9
unit-testing9
Programming languages (7)
Github contributions (5)
Layout-Parser/layout-parser
Jun 2020 - Dec 2022
A Unified Toolkit for Deep Learning Based Document Image Analysis
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:11 releases, 15 reviews, 174 commits in 2 years 6 months
Contributions summary:Shannon primarily focused on developing and implementing core elements and classes within the project, likely related to document image analysis. They created foundational components for layout analysis, including interval, rectangle, and quadrilateral classes, along with associated geometric operations, such as intersection and union. The user also contributed to the project by establishing initial setup files and test cases. They seem to be focused on providing the core tools to perform Deep Learning Based Document Image Analysis.
document-imageimage-analysisdocument-image-processingdetectron2layout-detection
allenai/pawls
Jan 2021 - May 2022
Software that makes labeling PDFs easy.
Contributions:7 reviews, 24 commits, 26 PRs in 1 year 3 months
pythonpdfmachine-learninglabelingpdfs
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