Nice to meet you! I am a graduate from the University of California, Los Angeles. I have a Master of Science in Electrical and Computer Engineering and a Bachelor of Science in Computer Science from the University of California, Santa Cruz. I have experience in firmware development and software engineering, and I am passionate about technology and innovation.
We proposed a solution to extend state-of-the-art AI's that currently play the game of Khet (chess with lasers). Using Alpha-Beta pruning and our heuristics, we have an optimal solver that beats other AI's for end-game scenarios and guarantee an optimal solution exists for the board state.
Using Unity and Meta Quest VR, our team created a virtual reality simulation of a bike workshop where users can learn how to fix a bike. The user can interact with the environment and tools to learn how to fix a bike.
Our group put together a circuit that uses a piezoelectric sensor attached to the base of a tennis racket. A ball striking the rim or netting of the racket is detected by the sensor, and the data is collected to train a machine learning model to classify the type of shot.
For the embedded systems class, my project was to collect sensor data and train AI to learn what constitutes bad driving using cameras at an intersection. As a prerequisite, there was a separate AI model trained to find car key points which fed into an LSTM model to recognize actions such as swerving or collision.