rheffern
Applied physicist and engineer with 15+ years of experience building production ML, instrument telemetry systems, and scientific instruments; seeking messy, cross-disciplinary high-consequence problems, open to full-time or contract.
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Location: Denver/Boulder metro Remote: Yes (also open to onsite in Boulder County, CO) Willing to relocate: No Technologies: Python, SQL, applied ML, RAG/LLM systems, embeddings, signal processing, data pipelines, instrumentation, optics/photonics, C++, MATLAB, AWS Résumé/CV: https://robheffern.palaich.net/cv/ Email: [email protected] Applied physicist and engineer, 15+ years. Put me on a messy, physical, high-consequence problem that crosses disciplines and has to ship — not demo. Recent: 6 years at Agilent building production ML over instrument telemetry: fleet-wide failure prediction, and a RAG/LLM system for 300+ field engineers taken from prototype to production (including the confidence logic for when it answers vs. hands off to a human). Cut data-prep time 8x. Before that I built scientific instruments from scratch (a fiber-based STED nanoscope and an OCT microscope) so I know data from the sensor up, not just after it lands in a warehouse. Earlier: DoD hardware reliability (former TS/SCI), precision timing, published detector-physics work. Strongest where software meets the physical world: instrumentation, sensor data, ML that has to be right because being wrong has consequences. I own problems end to end, and I'll tell you when the result isn't trustworthy yet. Open to full-time or contract. Health/medical-device mission a strong plus.
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