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Christos Boutsikas

Mid-level Research Assistant specializing in randomized numerical linear algebra and ML

Research Assistant4 years experienceMid-LevelHigher EducationResearchSemiconductors
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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.

Experience

Research AssistantPurdue University
Software Algorithm Engineer InternASML
Teaching AssistantPurdue University
Software EngineerAEGIS IT RESEARCH
Teaching AssistantUniversity of Patras

Education

Purdue Universitydoctorate, Computer Science (2026)
University of Patrasmaster, Computer Engineering and Informatics (2019)

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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Languages

English

Skills

Active learningAlgorithm developmentAngularApache KafkaComputer visionConvolutional neural networks (CNNs)CUDAData scienceDeep learningDockerFast Fourier transform (FFT)Generative adversarial networks (GANs)GitImage classificationJulia