Siquan Wang
Software Engineer II - Azure Networking at Microsoft
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolSiquan Wang is a software engineer with eight years of experience building high-performance networking and backend systems, currently shaping the datapath of Microsoft Azure’s software load balancer. He previously delivered globally launched, full-stack features at Amazon that routed user interactions into ML pipelines and production monitoring. Siquan’s graduate research at NYU combined live video streaming, network resilience, and learning-based bandwidth prediction, reflecting a strong foundation in systems, networking, and algorithmic control. Comfortable in C/C++ and Java while fluent in Python, C#, and SQL, he favors backend and algorithm-focused work that leverages low-level performance tuning. Based in Redmond, he blends cloud-scale production experience with academic rigor and a practical knack for translating research techniques into robust, customer-facing services.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering, 3.8/4.0, Master's degree, Computer Engineering, 3.8/4.0 at New York UniversityBachelor of Engineering - BE, Computer Software Engineering, 3.5/4.0, Bachelor of Engineering - BE, Computer Software Engineering, 3.5/4.0 at Sun Yat-Sen UniversityComputer Science, 4.0/4.0, Computer Science, 4.0/4.0 at University of California, Los Angeles
Chinese, cantoness, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
super-resolution9
image-restoration8
face8
pytorch6
deep-learning6
face-recognition6
face-detection5
stylegan5
computer-vision5
generative-model4
image-synthesis4
generative-adversarial-network4
dcgan3
keras1
machine-learning1
Programming languages (1)
Github contributions (5)
BrotherQi/t1t
Jan 2018 - Feb 2018
Contributions:5 commits, 4 pushes, 1 branch in 1 month
BrotherQi/Bro_qi
Jul 2017 - Feb 2018
Contributions:2 pushes, 1 branch in 7 months
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