CosMOs: Constellation Detection Platform
A constellation detection platform which can detect constellations based on uploaded image.
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I am a Computer Science undergraduate with hands-on experience in machine learning pipelines, computer vision, and applied NLP, with a strong focus on data annotation and AI training data quality. My work includes designing and executing the full ML lifecycle—from data labeling and augmentation to model training and evaluation—most notably demonstrated in my CosMoS project, where I annotated and prepared datasets for a custom object detection model and iteratively improved its real-world performance. I am proficient in Python, TensorFlow, PyTorch, Scikit-learn, and data visualization tools, and have experience with multilingual text pipelines relevant to NLP and VLM applications. My research on AI fairness, published with IEEE, involved rigorous dataset curation and evaluation design, giving me a deep understanding of the importance of high-quality, unbiased training data. I am eager to contribute my skills in data annotation, model evaluation, and pipeline optimization to impactful AI projects.
A constellation detection platform which can detect constellations based on uploaded image.
Bachelor of Engineering, Computer Science and Engineering
Frontend Developer Intern