I'm an applied data scientist and machine learning engineer, currently working at Microsoft. I hold a Ph.D. in Electrical & Computer Engineering from Georgia Institute of Technology. My doctoral research focused on developing machine learning algorithms for environments with limited annotated data, with a particular emphasis on the problem of seismic interpretation. Professionally, my passions lie in cloud computing, data science, machine learning, and software engineering. With over a decade of combined academic research and industry experience, I've tackled a broad array of challenges across multiple technical and industry domains. One of my guiding principles is not only the effective application of machine learning for real-world impact but also a strong commitment to software engineering best practices and collaborative teamwork. Leading technical teams has also been a rewarding part of my journey, where I aim to prioritize both the project's success and the ongoing growth of team members.

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