Jonathan Elliott
AI Systems Engineer at Alix
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
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Santa Clara University
Github Skills (6)
remote-development8
vscode8
docker-container7
ssh7
docker6
visual-studio-code5
Programming languages (2)
Github contributions (5)
jonathantelliott/jonathantelliott.github.io
Oct 2019 - Jul 2026
Contributions:6 PRs, 92 pushes, 6 branches in 6 years 9 months
jonathantelliott/mobile-telecommunications
Apr 2021 - Oct 2022
Contributions:3 commits, 8 pushes, 1 branch in 1 year 6 months
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