Emma Smith is a Senior Software Engineer with 11 years of experience blending research-grade machine learning, blockchain engineering, and production software delivery from Greater Cambridge. She has led cross-functional teams to build high-impact products—most notably architecting Fetch.ai’s Colearn Paint and Open Colearn projects that combined ML-generated art, smart contracts, and a marketplace which materially boosted token engagement. Equally comfortable in Python and C++ (and versed in Rust and React), she has shipped embedded ML in blockchain environments and production web services for automated statistical analysis. At Myrtle.ai she continues to drive applied ML engineering while contributing to open-source tooling—improving build and docs for the prominent Turing.jl probabilistic programming project. A Cambridge MSci physicist, she pairs rigorous research instincts with pragmatic product focus and a knack for communicating complex systems to diverse audiences.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Arts - BA, Natural Sciences, Bachelor of Arts - BA, Natural Sciences at University of Cambridge
Bayesian inference with probabilistic programming.
Role in this project:
DevOps Engineer & Documentation Specialist
Contributions:11 commits in 18 days
Contributions summary:Emma's contributions primarily involved adapting build processes for different operating systems, specifically addressing issues with `mingw32-make` within the Julia project. They also worked on documentation, integrating `juliadoc` for documentation generation, customizing the theme, and addressing rendering issues. These changes indicate an effort to improve the project's build environment and enhance its documentation using specialized tools.
Contributions:2 commits, 321 pushes, 120 branches in 1 day
cppc-plus-plusfetch-aicpp17ledger
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Emma Smith - Senior Software Engineer at Myrtle.ai