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Christos Boutsikas
Mid-level Research Assistant specializing in randomized numerical linear algebra and ML
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About
Computer-vision-focused candidate with internship experience at ASML (Silicon Valley) building object detection models (YOLO, RT-DETR) for SEM defect inspection. Worked end-to-end on preparing multi-resolution datasets and tuning/training strategies, noting improved performance on low-quality images when training jointly on higher-resolution data.
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Key Strengths
- Hands-on computer vision object detection experience on SEM defect inspection data
- Data engineering for object detection pipelines (formatting, preprocessing, scripting)
- Practical model tuning and evaluation (KPIs, baselines, overfitting/regularization)
- Improved worst-resolution inference performance by mixing multi-resolution training data
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Experience
Education
Awards
Skills
Languages
Publications
5 publications
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