Sandeep Bajamahal

I'm a first-year EECS undergraduate student at UC Berkeley, with interests in reinforcement learning, deep learning, and robotics. Previously, I attended Saint Francis High School, during which I led FRC Team 2367's code team and directed robotics at Allstars Robotics.

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A scalable neural network class written with only Numpy. I wrote forward/back propagation and gradient descent from scratch.

I wrote two iterations of teaching a RL neural network to play pong. In the first volatile iteration I had the agent train after receiving a instant reward. In the optimized iteration I trained the agent to maximize expected reward.

I created a dataset of Spotify songs based on emotion and then trained a classifier to infer the emotion of new songs provided by a user's playlist.

Investigated the application of model predictive control(MPC) in path planning and object avoidance. I simulated autonomous robot movement around stationary obstacles using MPC and Pure Pursuit.

An introduction and explanation of the mathematics behind solving graphSLAM. I also included a Python program implementation.

I wrote a Python robot control system using UDP and threading to wirelessly control up to 4 Raspberry Pi robots. Both server and robot-side code are included. This project is a cost-effective version of FRC Driverstation that I wrote for my high school robotics team.

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