Course project for ME 216M (Intro to Design of Smart Product) at Stanford. A mirror that displays jokes to you until you smile. Won “most innovative” award in class.
Full time project at RelateIQ – a Chrome extension that augments CSM/recruiter/relationship managers’ gmail workflow. It provides augmented contact profile, intelligent follow-ups suggestions, close-loop management, and read receipts without needing to leave your inbox.
Awesome bookmarking/todo-list tool that tracks progress of webpages/videos
Course project in CS 231A (Computer Vision) at Stanford – an end-to-end neural network for 3D reconstruction. The network takes 2D images as input, and produces a 3D voxel grid (think pixels in 3D) as output. State of the art result. (68.1% Intersection-over-Union)
Course project in CS 234 (Reinforcement Learning) at Stanford – a Chinese Chess agent trained via Reinforcement Learning.
Course project in CS 224N (Natural Language Processing w/ Deep Learning) at Stanford – given a paragraph from wikipedia and a question about it, use deep learning to produce an answer.
Course project in PSYCH 209 (Neural Network Model of Cognition) at Stanford – train an agent to play Iterated Prisoner’s Dilemma using Reinforcement Learning.
Course project in CS 229 (Machine Learning) course at Stanford – This paper predicts hit songs based on musical features from MIDI files. 88% precision (30% recall) achieved.