Josiah Davis is a Principal AI Engineer with 11 years of experience building and deploying ML systems across industry and cloud at companies including Arm and Amazon. He has led research and production efforts from last-mile routing with multi-modal transformers and EV energy estimation to assortment models for cold-start retail and the introduction of LLMs into supply-chain tooling. A founding member of AWS’s Machine Learning Solutions Lab and core developer of the open-source ML Max project, he combines hands-on engineering, published research, and customer-facing solution design. His background spans consulting, instructional roles, and operations analytics, giving him a rare blend of product-minded ML research and practical deployment experience. Notably, he bridges academic rigor (M.A. Statistics, UC Berkeley) with applied impact—delivering models that enabled Day 1 retail launches and measurable operational savings.
11 years of coding experience
14 years of employment as a software developer
M.A., Statistics, M.A., Statistics at University of California, Berkeley
B.S., Mechanical Engineering (Honors), B.S., Mechanical Engineering (Honors) at University of Maryland
General Assembly's Data Science course in Washington, DC
Role in this project:
Data Scientist
Contributions:89 commits, 1 PR, 1 push in 5 years 8 months
Contributions summary:Josiah appears to be working on a data science project within the repository. The initial commit introduces Python code related to base Python concepts such as data types, operations, lists, strings, dictionaries, and control flow statements. The user then extends this by incorporating list comprehension exercises, and eventually adds code related to linear regression and K-Means clustering.
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