Sean Ross-ross
Senior Solution Architect at Plantiga
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolSean Ross-ross is a Senior Solution Architect with 16 years of experience building data-driven products, machine learning systems, and full-stack tooling from research prototypes to production. He was the technical lead behind core Anaconda offerings (Anaconda Server and Enterprise Notebooks) and is an active open-source contributor to high-profile projects like conda, anaconda-client and even PyTorch and node-http-proxy, reflecting a blend of platform design and low-level engineering rigor. As CTO of Plantiga he led teams that built PlantigaNet for biomechanical time-series ML, managed ingestion and training pipelines on terabytes of sensor data, and shipped embedded hardware for sensor insoles. At Tableau he introduced one of the company’s first production Kubernetes architectures and continuous deployment pipelines to operate at billions of views. A former founder who turned academic signal-processing research into marketable products, he thrives on translating cutting-edge papers into commercially viable systems.
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 (44)
pytorch10
javascript10
node-js10
python10
package-management10
jinja210
api-design10
testing10
commandline-interface10
command-line-interface10
conda10
proxy10
build-system10
http-proxy10
javascripts10
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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