I am a Machine Learning Engineer with over 5 years of experience developing data-driven solutions using Python, deep learning, and data visualization techniques. My work focuses on practical problem-solving, robust data modeling, and clear technical documentation to produce interpretable machine learning models. I am skilled at handling both structured and unstructured data, enabling me to deliver end-to-end implementations that are impactful and actionable.
I have built solutions such as OCR pipelines, ticket routing classifiers, and representation learning models using state-of-the-art architectures like CNN, LSTM, and SimCLR. I am experienced in deploying models using Flask and Docker, and in creating dashboards and visual tools with Power BI and Matplotlib. Collaborating across teams and thoroughly documenting my work are core to my professional values.
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