Shiqi Wang
Senior Software Engineer at Robinhood
Markham, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolShiqi Wang is a Senior Software Engineer with 7 years of experience building backend systems, cloud-native autoscaling components, and multiplayer game infrastructures across startups and large enterprises. With an MS in Computer Science and a published paper on action recognition, he blends strong academic ML foundations with hands-on engineering at Huawei and now Robinhood. He has deep experience in distributed systems, autoscaling (notably contributing backend improvements to the kubernetes/autoscaler for a major cloud provider), and platform reliability. Comfortable leading full development lifecycles, Shiqi has moved between Erlang, Go and cloud SDKs while also mentoring and teaching cloud and ML topics as a graduate assistant. Colleagues describe him as results-driven and initiative-oriented, often finding pragmatic fixes—like caching and SDK updates—that reduce errors and improve scaledown behavior in production.
7 years of coding experience
13 years of employment as a software developer
Master of Science - MS Computer science, Master of Science - MS Computer science at Lakehead Universityundergraduate Software engineering, undergraduate Software engineering at Hebei University of Scenice and Technolgy
Chinese, English
Github Skills (7)
autoscaling10
kubernetes10
go10
backend10
back-end-development10
kubernetes-pods10
error-handling8
Programming languages (4)
Github contributions (5)
kubernetes/autoscaler
Nov 2020 - Feb 2022
Autoscaling components for Kubernetes
Role in this project:
Backend Developer
Backend DeveloperContributions:6 reviews, 9 commits, 22 PRs in 1 year 3 months
Contributions summary:Shiqi primarily focused on implementing and modifying backend components related to the Huawei Cloud provider for the Kubernetes autoscaler. Their work included implementing a `TemplateNodeInfo` function, fixing error logs, removing unused code, and addressing scaledown issues. The user also added a cache for instances and updated the Huawei Cloud SDK, demonstrating a good understanding of the autoscaling group's internal workings.
k8skubernetesautoscaling
PerforMance308/EEG_Dataset
Feb 2019 - Mar 2020
Differential entropy features of EEG dataset
Contributions:19 commits in 1 year
entropydatasetmachine-learningeegdifferential
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