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PooyaHekmati/README.md

Hello, I'm Pooya Hekmati! πŸ‘‹

Welcome to my GitHub profile! I’m a passionate software engineer, researcher, and musician, driven by curiosity and creativity.

πŸ‘¨β€πŸ’» Lead Software Engineer

I lead the RuFaS development team at Cornell University, overseeing project development, gathering requirements from stakeholders, and guiding developers. My expertise spans full-stack development, system architecture, and integrating ML solutions into complex systems.

Previously, I worked at Meta as a Full Stack Software Engineer, contributing to scalable product design and managing technical debt.

πŸ“ Research & Publications

I have published research in AI, music embedding, structural health monitoring, and decision-making frameworks. I also serve as a reviewer for leading AI journals, contributing to the academic community by assessing innovative research.

🎢 Music Enthusiast & Researcher

I'm a musician with a keen interest in integrating music with technology. As part of my graduate studies, I developed a music embedding approach, incorporating music theory into computational applications.

Music Embedding

🌍 Open-Minded Explorer

My interests include astrophysics, aviation, wood art, music, and photography. I’m always exploring new technologies and ideas, blending them with my work.

πŸ“« How to Reach Me

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πŸ“Š GitHub Stats:



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  1. music_embedding music_embedding Public

    A package for representing music data based on music theory

    Python 28 4