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Samuel Ehrenstein - COMP 116 Instructor in Chapel Hill, NC

Samuel Ehrenstein

Mid-level Computer Vision & ML Researcher specializing in medical imaging and 3D vision

University of North Carolina at Chapel HillUNC Chapel HillChapel Hill, NC4 Years ExperienceMid LevelWorks On-Site

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About

PhD (CS) candidate with hands-on autonomy and robotics experience: improved safety-critical behavior for Kodiak’s self-driving 18-wheeler trucks, increasing overtaking clearance by ~2 feet and reducing safety alerts. Also debugged a C++ SLAM system for 3D colon reconstruction and built a low-budget distributed simulation cluster using Linux, Docker, and Python, plus implemented multi-hop SSH-based comms for an underwater robotics competition minibot.

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Key Strengths

  • Improved autonomous truck overtaking-pull-over behavior using rule-based + deep learning inputs
  • Applied physics-based modeling to tune smooth braking under jerk constraints
  • Delivered measurable safety improvement: increased lateral clearance by ~2 ft (0.6 m) and reduced safety alerts
  • Deep debugging of SLAM pipeline (C++ concurrency/mutex issue tied to GPU shader cache and constrained storage)
  • Resourceful distributed compute: built an ad-hoc Linux cluster and orchestrated thousands of simulations with Docker + Python task pooling
  • Pragmatic heterogeneous robot comms: multi-hop SSH tunnel for minibot video + control via Raspberry Pi Zero

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Experience

COMP 116 InstructorUniversity of North Carolina at Chapel Hill · Aug 2025 – Presentpart-time
Planning Engineer InternKodiak Robotics · May 2025 – Aug 2025internship
Graduate Research AssistantUniversity of North Carolina at Chapel Hill · Aug 2021 – Presentpart-time
PresidentUNC Computer Science Student Association · Jan 2023 – Jan 2024

Education

UNC Chapel Hilldoctorate, Computer Science (2026)
UNC Chapel Hillmaster, Computer Science (2023)
Case Western Reserve Universitybachelor, Physics and Computer Science (2021)

Awards

  • Patent pending: Methods, Systems, and Computer Readable Media for Colonoscopic Blind Spot Detection (PCT/US2024/018732)

Skills

BashC++Deep LearningJavaMachine LearningMATLABMatplotlibNumPyOpenCVPandasPyTorchPythonSQLTestingUnit Testing

Languages

English

Publications

5 publications

Medical imagingComputer visionEndoscopy navigationMonocular depth estimationSemantic segmentationUltrasound imaging3D reconstructionVision Transformers

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EducationEducation in Raleigh-DurhamArtificial IntelligenceBashC++Deep Learning

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Samuel EhrensteinMid-level Computer Vision & ML Researcher specializing in medical imaging and 3D vision