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Hello, I'm
Machine Learning Engineer
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16+ years
Frontend Development
My passion lies in Machine Learning. With a background in Software Engineering, I specialize in developing applications using a variety of technologies, including Dart, C#, Java, and JavaScript. I am proficient in OverReact, an in-house version of React used with Dart, as well as JSON manipulation.
Currently, I am channeling my energy into all things Data Science. I am pursuing certifications and undertaking projects to deepen my expertise in this field. I am eager to apply my strong analytical skills and programming expertise in a data-driven role. I am seeking an environment that fosters continual learning and offers opportunities to work with cutting-edge technologies.
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I developed a feature extractor using PyTorch with an MNASNet backbone. The model was trained on the Oxford III Pet dataset and achieved a high accuracy of 88%. It is also compact, with a size of just 12 MB. The model is deployed using Gradio and Hugging Face.
This project serves as an capstone endeavor undertaken to advance towards achieving my MIT Data Science certification. Employing Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs), it endeavors to discern emotions on images of faces.
In this project, I delve into the world of exploratory data analysis (EDA), utilizing Python's powerful data analysis libraries to uncover insights and patterns within various datasets.
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