Candidate profile
Machine Learning Engineer for Reinforcement Learning Applications
tensorflow.jsjavascript (d3.jsc/C++ (gazebopetscopencv)matlab (simulink)cudanode)django)flaskdockerpython (pytorch
Description
I'm a PhD candidate in electrical engineering, graduating in Spring '23. I research reinforcement learning (RL) for control under disturbances/faults. My work is applied to drones and smart buildings. I develop high-performance python simulations for experiments, and maintain/deploy RL controllers in production on campus buildings. Previously I worked as an Applied Scientist Intern at AWS (predictive analytics/signal processing), and a Research Intern at TieSet (federated learning/webdev/RL).