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Staff AI Systems Engineer, Technical Fellow at Northrop Grumman
I not only know machine learning algos, but know why and when one is better than another, and can and do extend their abilities. Machine learning algorithm expert (especially time series), rapid accurate low information decision support, NLP, control, speech enhancement, optimization, physics, and signal processing algorithm designer. Developed many devices under IEC 60601-1 medical electrical equipment, EN 45502-1 Active Implantable Medical Devices, and IEC 62304 medical device software. I can craft algorithms to generate features automatically (and determine their statistical significance), dig signal out of absurdly low SNR, stabilize nonlinear feedback loops with memory in power and RF, craft SQL queries, convert Python to MATLAB and back again, write and test simulation code, test medical devices in the cadaver lab, etc. I work well in a team with professional programmers, as well as independently. I can write R markdown scripts to generate monthly SPC reports. My various algorithmic, mechanical, and electronic designs have generated large profits for my employers and their clients. How can I help you?
SMU Cox School of Business
Master’s Degree, Engineering Management
January 1, 1990 – January 1, 1992
University of Colorado Boulder
Bachelor of Science (BS), Engineering Physics
January 1, 1972 – January 1, 1978
Northrop Grumman
Staff AI Systems Engineer & Technical Fellow
May 1, 2017 – Present
Aurora, CO
Actively looking
Senior Staff Scientist
September 1, 2016 – May 1, 2017
Cochlear Limited
Technical Fellow
December 1, 1998 – August 1, 2016
Boulder, CO
Battelle Memorial Institute
Staff Scientist
October 1, 1992 – November 1, 1998
Boulder, CO
Superconducting Super Collider (SSC)
Timing Manager, Instrumentation Group
April 1, 1988 – October 1, 1992
Dallas, TX
Advanced Energy
RFX Group Manager
October 1, 1986 – April 1, 1988
Fort Collins, CO
Valleylab
Control Engineer
January 1, 1985 – October 1, 1986
Boulder, Colorado
Neomed LLC
Director of Engineering
January 1, 1982 – January 1, 1985
Boulder, CO
Johnson Engineering (Consulting)
Consulting Engineer
January 1, 1980 – January 1, 1982
Boulder, Colorado
Phoenix Geophysics
System Engineer
January 1, 1978 – January 1, 1980
Toronto, Ontario, Canada
Beech Aircraft Company
Test Engineer
January 1, 1977 – January 1, 1978
Lyons, Colorado
University of Colorado Nuclear Physics Dept.
Programmer
January 1, 1976 – January 1, 1977
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards research and development, particularly in complex, high-stakes environments. The long tenure at Cochlear Limited and Northrop Grumman suggests loyalty and the ability to contribute significantly over time. The diverse project experience, from medical devices to high-energy physics and defense, indicates a broad intellectual curiosity and adaptability, which could be a good cultural fit for organizations valuing innovation and cross-domain expertise. However, the candidate's experience spans a very long period, and while ML skills are current, the overall career length might require careful consideration regarding integration into modern, agile ML teams.
Soft Skills & Operational Fit
The candidate's extensive experience across diverse industries (medical, defense, physics) and roles (engineer, scientist, manager) suggests strong adaptability and problem-solving skills. Mentoring experience indicates leadership and collaboration potential. The description of actively pursuing personal ML projects and staying abreast with pre-publications during a job search period highlights self-motivation and continuous learning. The ability to resolve an FDA audit and manage large budgets points to strong operational and compliance understanding.