Bryan Tan
@bryantan
I am an AI-focused computer vision engineer who develops and optimizes deep learning models for practical applications.
What I'm looking for
I recently graduated with a Bachelor of Science in Contact Physics (Minor in Mathematics) and am passionate about applying AI and machine learning to real-world problems. During an internship at ams Osram I developed and optimized a deep learning solution for automated product defect detection, achieving accurate classifications that enhanced quality-control processes.
I specialize in computer vision and AI model development — data annotation, model training, fine-tuning, and performance evaluation — and I consistently keep up with emerging AI techniques including generative AI and LLM integration. I'm eager to contribute to engineering teams building production-grade computer vision systems and continue growing in applied AI roles.
Experience
Work history, roles, and key accomplishments
Intern
ams OSRAM
Mar 2025 - Aug 2025 (5 months)
Developed and optimized a deep learning solution for automated product defect detection, achieving high classification accuracy and improving quality control processes.
Education
Degrees, certifications, and relevant coursework
Universiti Sains Malaysia
Bachelor of Science, Pure Physics
Grade: 3.61
Activities and societies: Minor in Mathematics; developed and optimized deep learning solutions for computer vision applications; relevant coursework: Computer Vision & Deep Learning, Artificial Intelligence, Differential Equations.
Bachelor of Science in Pure Physics with a Minor in Mathematics, focusing on applying AI and machine learning to computer vision and model optimization.
Kolej Tingkatan Enam Pudu Jaya
Sixth Form Certificate, Pre-university (Science)
Grade: 3.83
Activities and societies: Science stream; relevant coursework: Electronics, Complex Analysis, Differential Equations.
Completed Sixth Form pre-university studies in the Science stream with a CGPA of 3.83.
Availability
Location
Authorized to work in
Job categories
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