Cameron Pfiffer
Member Of Technical Staff at Letta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCameron Pfiffer is a Founding Developer Relations Engineer in San Francisco with nine years of experience bridging probabilistic research and developer-facing AI products. He builds tooling and documentation that help teams construct memory-enabled agent systems at Letta, and previously focused on predictable, structured language-model outputs at .txt. Cameron's background combines a PhD in Finance and postdoctoral computational work at Stanford, where he scaled Bayesian models on multi-terabyte datasets and sped up probabilistic inference by 3–4x. As a core contributor and technical writer to the 2k-star Turing.jl probabilistic programming project, he led documentation migrations and performance-minded refactors of inference algorithms. Equally comfortable writing high-performance C# tools that cut billable hours or running spotlights at Cirque du Soleil, he brings a practical, efficiency-first mindset to developer tooling and research engineering. He’s a recovering finance researcher who now spends his time making machines that learn and explaining how they work to other engineers.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Technical Theater, Bachelor of Science (B.S.), Technical Theater at Southern Oregon UniversityDoctor of Philosophy - PhD, Finance, Doctor of Philosophy - PhD, Finance at University of Oregon Lundquist College of BusinessMaster of Science (MSc), Corporate Finance, Master of Science (MSc), Corporate Finance at Henley Business School
English
Stackoverflow
11reputation
285reached
1answer
0questions
Github Skills (7)
probabilistic-programming10
build-automation10
julia10
documentation10
stock-quotes6
quantmod6
r6
Programming languages (15)
Github contributions (5)
TuringLang/Turing.jl
Sep 2018 - May 2021
Bayesian inference with probabilistic programming.
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:7 releases, 55 reviews, 302 commits in 2 years 7 months
Contributions summary:Cameron's contributions primarily revolved around the documentation and build processes of the Turing.jl project, which is a probabilistic programming language. Their work included migrating the documentation to Documenter.jl, refactoring build scripts, and updating links. They were also involved in small-scale refactoring within the compiler and addressing packaging notations.
bayesian-inferenceprobabilistic-programmingmachine-learningjulia-languageartificial-intelligence
TuringLang/turinglang.github.io
Aug 2020 - Oct 2021
website for Turing.jl
Contributions:13 reviews, 119 commits, 7 PRs in 1 year 2 months
documentation-websiteturing
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