Data Annotation Typescript
Model Evaluation
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I am a detail-oriented software engineer with hands-on experience in data analysis, artificial intelligence, and the development of robust, user-centric applications. My background includes building AI systems for medical imaging, such as developing a deep learning model for tuberculosis detection from chest X-rays, where I was responsible for data cleaning, augmentation, and preparation to ensure high-quality training data. I am skilled in Python, TensorFlow, Keras, and data manipulation libraries like Pandas and NumPy, as well as visualization tools such as Matplotlib and Seaborn. My experience also extends to web development and integrating AI models into user-friendly interfaces. I am passionate about contributing to projects that require precise data annotation and a deep understanding of data quality for machine learning and AI solutions.
Model Evaluation
Software Engineering, Software Engineering
Bachelor of Science, Software Engineering
Software Developer
Frontend Developer Intern