B Schoon is an experienced software engineer with 11 years of hands-on experience spanning startup product work, biomedical LIMS, and AI/LLM tooling. He combines full‑stack skills—from React and Flask/Postgres at Freenome to Clojure/re-frame and llama.cpp integrations at Tallyfor—while also building batching and task-queue systems for prompt experimentation. Early career technical-director roles at ILM, Weta and DreamWorks give him uncommon depth in production visual effects pipelines alongside modern web and AI systems. Currently studying mechatronics at Franklin Cummings Tech, he blends hardware curiosity with practical software craft. He contributes to front-end projects (e.g., fixing lint, analytics and UI issues in a Udacity portfolio repo) and has a track record of simplifying prompts to run on smaller local LLMs—an indicator of pragmatic, resource-aware engineering. Based in Greater Boston, he’s comfortable bridging technical domains and turning complex, cross-disciplinary problems into deployable solutions.
11 years of coding experience
21 years of employment as a software developer
Logic, Logic at Coursera
Associate of Science, Associate of Science at Franklin Cummings Tech
Machine Learning, Machine Learning at edX
Bachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at Massachusetts Institute of Technology
Contributions summary:B primarily focused on front-end development tasks within the repository. Their contributions involved fixing code style issues identified by a linter (JSHint), including correcting semicolons and variable names. They also made modifications to the HTML files by adding and modifying Google Analytics tracking snippets, and fixed a typo. These commits show work on the user interface and web performance of the project.
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