About

Hello!

I'm a passionate Machine Learning (ML) professional with a rich blend of academic excellence and industry expertise, particularly in the realms of Computer Vision (CV) and Natural Language Processing (NLP).

My data science background begins in college with a mix of Economics and Math. In my PhD I got my hands dirty applying machine learning and NLP for economics forecasting and sifting through corporate documents.

Currently at Netflix as an ML Scientist, messing with multi-modal ML and DL algorithms to decipher scripts and shows. Before that I jumped into a startup as an ML engineer, where I played around with computer vision, NLP, Python, TensorFlow, and all that cool DevOps stuff (think Kubernetes, Docker, AWS).

I love meshing AI with real-world challenges and am always eager to connect and share ideas.

[CV]

Facts are stubborn things; and whatever may be our wishes, our inclinations, or the dictates of our passion, they cannot alter the state of facts and evidence.
— John Adams