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I analyze data, build AI systems, teach math and coding
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Machine Vision Engineer
Evlos
Sep 2025 - Present • 8 mos
- First-hand experience in formulating algorithmic and ML-based pipelines (ranging from 95% to 100% accuracy) for computer vision systems within product defect detection frameworks - Optimized imaging setups and camera calibration via OpenCV to ensure high-quality image acquisition for robust algorithm implementation and ML model training - Containerized algorithmic pipelines by publishing Docker images to Docker Hub for optimum consistency, portability and reproducibility of workflows