Shawn Lewis
GM Of Saas at CoreWeave
United States
Summary
🤩
Rockstar🎓
Top SchoolShawn Lewis is a results-driven Sales Manager in Newport Beach with 14 years of experience building revenue and managing customer relationships across industrial and technical product lines. Currently leading sales at Door Systems, he progressed internally from estimator roles to senior sales leadership, demonstrating deep product knowledge in smoke-and-fire barrier systems and integrated door assemblies. He pairs hands-on estimating and project coordination with a strong background in outside and inside sales, supply chain insights, and ISO-oriented quality problem-solving. Earlier roles—ranging from outside sales in precision metals to managing a high-performing Enterprise branch—showcase his consistent track record of exceeding targets and improving processes. He also brings technical familiarity from running a digital agency partner business, having overseen web and mobile app development, QA, and project financials. Based in California and grounded in a BA in Marketing from Cal Poly SLO, Shawn blends practical technical literacy with strategic sales leadership to close complex, specification-driven deals.
14 years of coding experience
23 years of employment as a software developer
Computer Engineering, Computer Engineering at Virginia Tech
Stackoverflow
214reputation
14kreached
3answers
1question
Github Skills (18)
pytorch10
python10
machine-learning10
cicd10
tracks10
deep-learning10
tensorflow10
experiment10
apim9
pytorch-lightning9
deeplearning-ai9
api9
matplotlib8
scrapy6
macos6
Programming languages (9)
Github contributions (5)
wandb/wandb
Apr 2017 - Dec 2021
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Backend Engineer & DevOps Engineer
Backend Engineer & DevOps EngineerContributions:60 reviews, 588 commits, 76 PRs in 4 years 8 months
Contributions summary:Shawn's contributions centered around improving the functionality and reliability of the W&B platform. They implemented features related to managing and monitoring runs by addressing issues such as checking for pipe functionality, handling file uploads, and implementing history and summary data saving. They also actively worked on improving the CI/CD pipeline, demonstrated by the changes to the tox scripts and the attempt to fix failing tests within the Continuous Integration system.
pythoncollaborationtensorflowhyperparameter-tuningcli
wandb/examples
May 2018 - Nov 2020
Example deep learning projects that use wandb's features.
Role in this project:ML Engineer
ML EngineerContributions:1 review, 14 commits, 1 PR in 2 years 6 months
Contributions summary:Shawn primarily contributed to example projects that leverage the features of the Weights & Biases (wandb) platform. Their work includes developing and refining example code for various deep learning projects, including training and validation scripts. The user implemented examples showcasing features such as logging metrics, resuming training runs, and integrating with different training and validation workflows. Additionally, the user contributed examples related to logging matplotlib plots.
pytorchdeep-learningdeep-learning-examplemachine-learningwandb
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