Label smoothing on NLOS detection in GPS environment
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I have a strong background in computational electromagnetics and hands-on experience with numerical methods, scientific computing, and GPU acceleration. My work has involved analyzing and optimizing large datasets, profiling performance, and implementing efficient algorithms in MATLAB, C++, and CUDA C++. Through research and projects, I have developed skills in data preprocessing, signal processing, and model evaluation, including experience with model compression and knowledge distillation for AI applications. My technical expertise and attention to detail enable me to contribute effectively to data labeling, annotation, and the preparation of high-quality AI training data, particularly in domains that require careful handling of numerical or sensor-based data.
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Bachelor of Science, Electrical and Electronic Engineering
Undergraduate Researcher