Portfolio

TensorFlow GUI

An in-browser application that visualizes and animates the prediction of given TensorFlow
models.

Leap

Architecting automated,
dynamic data-driven systems
that empower organizations to
achieve outcomes with a focus
on usability for developers and
end-users.

PEAR

❖ Portable Education with Augmented Reality (PEAR) is a framework for reconfiguring a classroom subject into an augmented reality mobile game
❖ Part of a research study comparing comprehension of K-8 students using augmented reality to traditional learning methods
❖ Tracked user data and extracted it to the teacher portal on website, allowing teachers to track individual students in classroom

Squad Overmatch

Contributed on Squad Overmatch, an in-browser platform focused on effective knowledge transfer of seasoned military personal to new recruits to expedite their development and deployment
Increased productivity by automating user data collection and compilation
Presented to corporate leadership on project development and results from client-side testing

AI@UCF

❖ Expanded group structure to include lectures alongside workshops to teach members a strong
foundational knowledge in artificial intelligence while bridging gaps between different areas of
research
❖ Funded by grants from the NSF’s Science and Technology Center, Intel, and the Center for
Brains, Minds and Machines (CBMM) at MIT

Inference Encoder

❖ Independently researched on inpainting methods using Generative Adversarial Networks
❖ Adapted a model that predicts what lies beyond the boundaries of an image such that a human
cannot distinguish between its output and the ground truth