Summer 2023: I was a research intern at the Center for Human-Compatible AI working under Prof. Stuart Russell to study human-inspired exploration and skill discovery paradigms. Summer 2022: I was a software development engineer intern at Amazon working with Amazon Web Services to create optimized Spark/Hadoop algorithms that use multiple clusters from load balancing across sharded data. Summer 2021: I was a research fellow at NASA JPL where I worked with team CoStar, a joint MIT-Caltech-NASA organization for robotics research.
I specifically worked with skill development for robotic planning through deep learning techniques. Fall 2021: I was a Schmidt Futures AI Fellow for Educational AI Technology
I am most interested in the theory of intelligence and how to create general learning systems that encompass this definition.
The age-old question of AGI has so strongly captivated me that I am certain I would like to dedicate my life’s career to exploring it.
I think that physical embodiment will play a significant role in the creation of AGI, thus I find that robotics and robot learning is an excellent testbed for AI research.
Currently, I work in computer vision and reinforcement learning to create rich perceptual learning systems and decision-making agents.
My current research under Prof. Sergey Levine at BAIR involves zero-shot reward shaping for online RL and subgoal reaching. I also have interests in representation learning which I pursued
with Prof. Bruno Olshausen by exploring object-part relationships and deformation through Restricted Boltzmann Machines.