Candidate profile
Research Engineer, ML Evaluation
pytestscikit-learnGitPythonFlaskSQLLinux/Raspberry PiPyTorchRSwift
Description
Research engineer with statistics and environmental-science training — I build sensor-to-score systems where the job is knowing whether the number means anything: frozen data contracts, QC gates, holdouts, and baselines before anyone trusts a model. Recently owned embedded thermal lab instrumentation end-to-end (Raspberry Pi/C++/Python/PyTorch); solo-shipped a macOS app (github.com/oxremy/BlinkMore). Open to research SWE, ML eval, analytics/data quality, instrumentation, or environmental data roles.