Will human-level AI emerge from a mega-neural network, a yottaFLOP, and a whole yotta data? Or will it be a pipeline system of engineered components?
I am a Master’s student in Computer Science at Penn Engineering and 4th year undergrad studying Statistics and Finance at The Wharton School.
“My main goal is to build a machine smarter then myself, then retire.” - Jürgen Schmidhuber
I have focused my studies and research in machine learning and natural language processing with a focus on neural networks. From time to time I can also be found in classes like Venture Capital, Corporate Finance, and Financial Derivatives. I am broadly interested in fintech, ML, and distributed systems, especially in applications that create new value.
I’m currently building CoParse, a PDF reader for contracts powered by NLP.
MSE in Computer Science, 2021
University of Pennsylvania (in-progress)
BAS in Computer Science, 2020
University of Pennsylvania (in-progress)
BSc in Economics, 2020
The Wharton School (in-progress)
International Baccalaureate, 2016
Upper Canada College
Thoughts that keep me up at night, organized into blog posts
Will human-level AI emerge from a mega-neural network, a yottaFLOP, and a whole yotta data? Or will it be a pipeline system of engineered components?
Code and batteries included.
An emergency insurance product for hurricanes. Pennapps 2018 winner of Best Hack That Helps the Community.
A search engine built from scratch (distributed crawler, stream processing engine, page rank, TFIDF).
Natural Language interface for in-app purchases in VR. Integrated with Unreal Engine.
Learning to Extract Implicit Information via Reading Comprehension Datasets.