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Associate Principal Engineer

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Durch verschiedene Projekte und Nebentätigkeiten neben dem Studium habe ich meine Stärken und beruflichen Interessen geschärft – besonders im Bereich IT-Security. Zielgerichtete Teamarbeit und technische Herausforderungen motivieren mich, meine Fähigkeiten kontinuierlich weiterzuentwickeln. Ich arbeite belastbar, zuverlässig und bringe eine hohe technische Affinität ins Projektteam ein.

Digital Engineering professional specializing in Machine Learning and Computer Vision, with a background in research experience in dataset quality, computer vision data curation, and model development.

• Dataset curation: Curating and evaluating structural-inspection image datasets across five civil-infrastructure categories, using systematic criteria for image quality, visual diversity, and inspection conditions for publication.

• Machine-learning development: Translated a research theoretical Rational approximation classification algorithm into a working end-to-end model, overcoming a long-standing implementation challenge for many semesters and achieving approximately 90% accuracy for MNIST detection.

• Data–model understanding: Combining practical experience in dataset preparation and quality assessment with hands-on model development, providing an understanding of how training-data characteristics influence model performance and generalization.

An Engineer with a background in independent research using intuitive, Cognex based architecture. Skilled in programming with documented history of discovering methods to intelligently use data to enhance user experience. Effectively researches techniques for novel approaches to problems, to inspect viability of approach and deploys application into production yielding insights to expand customer satisfaction.

Experienced professional with a strong academic background and proven leadership abilities, dedicated to leveraging AI and semiconductor technologies for meaningful real-world impact. Thrives in both independent and collaborative settings, demonstrating exceptional problem-solving skills. Excellent communication abilities facilitate effective collaboration with colleagues and stakeholders, driving innovation in I&T development. Committed to continuous learning and adapting to emerging technologies to enhance project outcomes.

Xiang Ji

Overview

Work History

Computer Vision Projekt - Bottle Detection

Deep Learning Projekt - Human Activity Recognition

Computer Vision - Diabetic Retinopathy Detection

Education

M.Sc Autonome Systeme -

B.Sc Mechatronik -

B.Sc Mechatronik -

Skills

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Computer Vision Projekt - Bottle Detection

Deep Learning Projekt - Human Activity Recognition

Computer Vision - Diabetic Retinopathy Detection

M.Sc Autonome Systeme -

B.Sc Mechatronik -

B.Sc Mechatronik -

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