I am an aspiring AI Engineer with a Master’s degree in Electrical and Computer Engineering and a solid foundation in machine learning and Python programming. I have experience designing and optimizing neural networks, performing data analysis, and evaluating models using PyTorch and scikit-learn. I am passionate about applying AI to solve real-world problems, especially in educational access, and I thrive in collaborative, growth-oriented environments.
I have demonstrated the ability to support end-to-end ML workflows from data preprocessing to model deployment and have worked on various projects ranging from energy-efficient deep neural network compression to supervised learning pipelines and deep reinforcement learning. I enjoy contributing to impactful projects that make a difference and learning continuously in the fast-evolving AI field.
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