Build simulated environments utilizing robotic agents to capture and analyze extensive camera-view image datasets. Design and implement innovative algorithms to enhance the training and inference processes for various machine learning pathfinding models. Develop robust metrics to assess the efficiency, accuracy, and consistency of the trained models.

Guide students in Introductory Computer Science and Discrete Math and Functions courses. Teaching topics in recursion, basic Python understanding, mathematical proofs, Haskell, etc.

Developed and practiced AWS and Google Cloud knowledge. Worked with team in analyzing data to understand profits of partnerships.

Guide students (age 6-15) through coding intensive programs. Through these programs, taught students block coding (using Scratch software) and JavaScript. Additionally worked with other employees to plan engaging and educational STEM activities for students.

Organize Knowing Neurons website's viewership statistics into easily viewable charts using Microsoft Excel. Work with UCLA PhD student to read primary literature and write article on neuroscience topic.