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Machine Vision Engineer

I've spent 10 years building systems that make machines see and understand the world. My work spans industrial inspection, autonomous perception, scientific imaging, and the mathematical theory underlying it all β€” from projective geometry to diffraction physics.

I care deeply about the why behind algorithms β€” the linear algebra, the optics, the physics. That foundation lets me design solutions that work not just on benchmarks but in messy real-world production environments.

Skills & Expertise

Vision & AI

Computer Vision (OpenCV, scikit-image)98%
Deep Learning (PyTorch, TensorFlow)92%
3D Vision (PCL, Open3D)88%
SLAM & Calibration85%

Engineering

Python96%
C++ / CUDA82%
ROS / ROS278%
Linux / Embedded Systems80%

Mathematics & Physics

Linear Algebra & Geometry95%
Probability & Statistics90%
Optics & Photonics85%
Signal & Image Processing93%

Experience

2022–Present

Lead Vision Engineer

@ AI Perception Lab

Leading a team of 8 to develop production-grade vision systems for semiconductor and automotive inspection. Shipped 3 systems processing > 1M parts/day.

2018–2022

Senior Computer Vision Engineer

@ Industrial Vision Corp

Designed and deployed real-time defect detection pipelines on 20+ production lines. Reduced false-reject rate from 4.2% to 0.3% using custom CNN architectures.

2015–2018

Computer Vision Researcher

@ University Research Lab

Research on stereo reconstruction and structured-light 3D sensing. Published 5 peer-reviewed papers. Developed hand-eye calibration algorithms still used in industry.

2014–2015

Vision Systems Engineer

@ RoboTech Solutions

Built camera-guided robot pick-and-place systems. First exposure to production-scale machine vision challenges.