Josie Yaconelli is a founding engineer with 11 years of experience building front-end products and machine learning systems, currently leading engineering at Worktrace AI out of the San Francisco Bay Area. She combines a strong academic background in computer science and mathematics (University of Oregon; Master’s work at University College Dublin) with hands-on startup experience shipping React and Electron apps and audio-focused ML. Previously a founding front-end engineer at Shades and a software engineer at Roblox, she bridges user-facing interfaces and research-driven ML, especially in computational musicology and ethical ML. Her early work includes deep learning for automatic key detection and research in model-based reinforcement learning and primate visual representation, reflecting a habit of translating research prototypes into production features. Colleagues describe her as an engineer who pairs musical insight with rigorous ML practice to solve novel product problems.
11 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at University of Oregon
WW CLC
Ashland High School
Master's degree Computer Science, Master's degree Computer Science at University College Dublin
Transatlantic Student Science Exchange Program (TASSEP) Mathematics and Computer Science, Transatlantic Student Science Exchange Program (TASSEP) Mathematics and Computer Science at Trinity College Dublin
Contributions:33 pushes, 1 branch in 2 years 8 months
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