Undergraduate Thesis: Recommender Systems in PyTorch
Used PyTorch to develop novel neural network based recommender system for video games.
Used PyTorch to develop novel neural network based recommender system for video games.
Worked on the self driving simulation team. Python, C++, Unreal Engine.
On the Autonomous Vehicle team where I developed a 3D engine in OpenGL ES.
Created a self driving car by training a convolutional neural network in Matlab and writing Python scripts to control the motion of an RC car.
Created a self watering garden by developing Arduino scripts to control sensors, Python scripts to parse/plot sensor data and by configuring a Raspberry Pi Linux system.
Trained an convolutional neural network on GCP with TensorFlow and Python that improved recognition accuracy by 20%.
Created a 3D real-time rendering engine in C++ and OpenGL using Blinn-Phong shading. Implemented collision detection between AABB and rays.
On January 23rd 2018, Tim Cook the CEO of Apple visited Sheridan College to see the innovative mobile application projects us 4th year students have been working on.