Jonathan Elliott
AI Engineer at SF AI Labs
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Elliott is an AI Engineer based in San Francisco with eight years of experience building production-grade generative AI systems and backend infrastructure. He specializes in Retrieval-Augmented Generation, hybrid retrieval, and adaptive query expansion, and architects FastAPI services integrated with OpenAI models, Pinecone, and Supabase for scalable, low-latency deployments. Jonathan has hands-on expertise containerizing services, automating CI/CD pipelines, and running concurrent workloads on Google Cloud Run and Azure, with an emphasis on observability, streaming, and performance tuning. He also builds data-enrichment pipelines and internal automation (Slack, Zapier, Linear) to turn unstructured signals into operational workflows. Comfortable across the full AI lifecycle, he leans on Python and asynchronous architectures to make complex ML systems maintainable and production-ready. A practical problem-solver, he pairs academic grounding in data science from Santa Clara University with a knack for turning research ideas into reliable engineering.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Santa Clara University
Github Skills (9)
remote-development7
docker-container6
devcontainer6
vscode6
ssh6
docker5
visual-studio-code5
vscode-extension4
visual-studio4
Programming languages (2)
Github contributions (5)
jonathantelliott/jonathantelliott.github.io
Oct 2019 - Jun 2024
Contributions:6 PRs, 83 pushes, 6 branches in 4 years 8 months
jonathantelliott/mobile-telecommunications
Apr 2021 - Oct 2022
Contributions:3 commits, 7 pushes, 1 branch in 1 year 6 months
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