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About
Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.
Experience
ScientistEarly-Stage Startup
Sensor EngineerPeraton
Algorithm Developer (Computer Vision and Robotics)QinetiQ
Education
University of Maryland, College Parkdoctorate, Physics (2018)
University of Arkansas, Fayettevillebachelor, Physics (2008)
Key Strengths
Designed and validated end-to-end multisensor remote-sensing detection pipeline (spectral detection using RX/ACE)
Strong calibration and data-quality focus (spatial/spectral radiance calibration, shutter calibration protocols, QC on derived data)
Effective cross-disciplinary debugging with hardware teams to mitigate temperature-driven signal variation (software + thermal management)
White-box simulation approach for rapid troubleshooting before C++ implementation
Practical SLAM/registration debugging using feature differencing and pixel-level misalignment detection
Ability to isolate non-SLAM error sources (focus/lens distortion) and implement mitigations (edge rejection, test-spec refinement)
Iterative simulator refinement by matching noise statistics to real-world test results with fast feedback cycles
Reference Highlights
Strongly Recommended
Incredible proficiency in Python
Strong data handling and algorithm skills
Strong technical understanding of C++ in control firmware contexts
Produces meaningful results from data analysis
Clearly articulates findings and their meaning
Suggests practical fixes and improvements
Improves design efficiency and shortens iteration cycles
Strong intuition connecting data to real-world mechanical/physical effects
Effective at identifying root causes of timing/synchronization issues
Fast problem solver (resolved issues in hours vs days)
Hands-on in lab environments
Strong theoretical knowledge
Good listener
Team player
Loyal and dedicated to projects/organizations
Highly focused and present
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