Summary
Ezra Schroeder is a seasoned data labeler and prompt engineer with 11 years of technical experience and over six years mentoring and reviewing code for Udacity Nanodegree students. He builds and validates code-generation and chatbot solutions—primarily in Python with numpy and pandas—by engineering prompts and reproducing sandboxed virtual environments to test model outputs offline. Holding a Master's in Computer Science from UIUC and a BS in Mathematics and Statistics, he blends rigorous academic training with practical, hands-on debugging, simulation, and data annotation workflows. His background ranges from low-level programming (Assembly, C++) to applied data science, and he brings unique creativity to crafting prompts that intentionally elicit behavioral differences between LLMs. Based in Houston, he combines remote gig experience with a history of technical teaching and operational roles, including telecommunications work in the National Guard, which informs his disciplined, systems-minded approach to ML training data quality.
11 years of coding experience
Bachelor of Science (BS) Mathematics and Statistics, Bachelor of Science (BS) Mathematics and Statistics at California State University, Northridge
Self Driving Car Engineer Nanodegree autonomous vehicles, Self Driving Car Engineer Nanodegree autonomous vehicles at Udacity
EdX
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-Champaign
English