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Nightvid Cole

Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems

Saratoga, CAScientist7 years experienceSeniorAerospace & DefenseTechnologyRobotics
ScreenedReferences VerifiedIdentity VerifiedStrongly Recommended

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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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Languages

English

Skills

MATLABPythonIDLOpenCVSciPyNumPyPandasTensorFlowXGBoostComputer VisionImage Feature RecognitionImage Error CorrectionSurface Quality InspectionOptical Quality ControlRegression Testing