Sean Ross-ross
Senior Solution Architect at Quansight
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolSean Ross-ross is a Senior Solution Architect with 17 years of experience building scalable data science, ML and full-stack systems, currently advising and architecting solutions at Quansight and Plantiga from Vancouver. He helped create core components of the Anaconda platform—authoring Anaconda Server and Enterprise Notebooks—and has deep hands-on expertise shipping infrastructure and CI/CD at scale (including Kubernetes-based production at Tableau Public). As a former CTO he led teams that built embedded hardware, high-throughput data pipelines and deep learning models for biomechanical sensor data, training models on terabytes of real-world signals. His open-source contributions span critical tooling like conda/conda-build and conda, improving package build flexibility and dependency resolution, and testing/QA work in PyTorch and node-http-proxy. Comfortable turning academic papers into production products, he blends scientific rigor with product instincts and a track record of delivering commercially viable analytics platforms.
17 years of coding experience
16 years of employment as a software developer
B. Sc. Computer Science, B. Sc. Computer Science at The University of British Columbia
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (38)
pytorch10
javascript10
package-management10
jinja210
api-design10
python10
testing10
command-line-interface10
conda10
proxy10
build-system10
http-proxy10
build-automation10
command-line10
error-handling10
Programming languages (14)
Github contributions (5)
anaconda/anaconda-client
Mar 2013 - Sep 2016
Anaconda Server Client
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:374 commits, 43 PRs, 57 pushes in 3 years 6 months
Contributions summary:Sean appears to be involved in the initial development of the anaconda-client library. The commits demonstrate the creation of core functionalities, including API interactions and setting up the basic structure for the client, as well as creating upload and download functionality. The user also implemented a basic command-line interface for managing packages and authentication tokens, highlighting a focus on both backend API design and front-end command-line utilities.
javaanacondaclient-server
pytorch/pytorch
Sep 2022 - Jan 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:ML Engineer & QA Engineer / Test Automation Engineer
ML Engineer & QA Engineer / Test Automation EngineerContributions:130 reviews, 295 commits, 37 PRs in 4 months
Contributions summary:Sean primarily contributed to testing and enhancing the PyTorch library, specifically focusing on adding OpInfo for new functionalities like `uniform` and `narrow_copy`. Their work involved writing test cases, including error inputs and sample inputs, to ensure the correctness and robustness of various tensor operations. They also addressed specific issues, such as fixing a CUDA-related problem in sparse matrix operations and adding batch support for the `narrow_copy` operator, demonstrating a focus on code quality and broader functionality.
pythongpu-accelerationdeep-learninggpunumpy
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