Jeremy Martinez
Software Engineer, ML Infrastructure at Snap Inc.
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJeremy Martinez is a software engineer specializing in ML infrastructure and full-stack systems engineering, with 11 years of experience building machine learning-driven products and scalable web platforms. He has architected and implemented production ML solutions—such as FastAI/PyTorch PDF classification and NER models—and led reusable platform work including Avalara’s nexus determination engine and internal UI/npm libraries. Comfortable across Python, TypeScript, Node.js, AWS/Terraform, and CI/CD pipelines, he bridges data science and reliable deployment practices to accelerate business outcomes. Now at Snap on ML infrastructure, he brings a track record of turning research models into automated, maintainable services. A Georgia Tech MS and WSU BS graduate, he pairs deep technical breadth with a pragmatic focus on customer-facing improvements and developer experience. An often-overlooked strength is his history of building internal developer tooling and archetypes that multiply team velocity across large organizations.
11 years of coding experience
11 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyHigh School Diploma, High School Diploma at Mountain View High SchoolBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Washington State University
Spanish
Github Skills (200)
azure-functions10
terraform10
serverless10
terraform-module10
serverless-applications10
lambda10
graph10
aws-lambda10
aws-sam10
serverless-framework10
terraform-provider10
aws-dynamodb10
sam10
aws10
terraform-cloud9
Programming languages (10)
Github contributions (5)
JeremyCraigMartinez/RL-CS7642
May 2020 - Jul 2020
Contributions:19 commits in 1 month
JeremyCraigMartinez/CS6750-HCI
Aug 2019 - Nov 2019
Contributions:43 commits in 2 months
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