Jesse Jensen

Built a real-time ray-tracer using OpenGL ES
•	Incorporated ambient, diffuse, specular, and reflective lighting
•	Simulated recursion iteratively in GLSL using a stack
•	Rendered models in a skybox to visualize reflection

Real-Time Ray Tracer

Created an input-corrective drawing tablet for those with disabilities that corrects shaky input and uses machine learning (Tensorflow) to classify handwriting
•	Carried project through engineering design process including stakeholder requirements, specifications document, engineering design, testing, verification, and result reports
•	Developed interactive art canvas UI
•	Corrected shaky user input using a line-smoothing algorithm that retained general shapes while correcting error
•	Engineered a convolutional neural network model in Tensorflow to achieve an accuracy of 98% when reading handwritten digits (approx. 93% from user input)

Input-Corrective Drawing Pad

Milkshake Machine

Robot through maze

Dungeon Crawler Game

実績

C (Programming Language)

Assembly Languge

JavaScript

x86 Assembly

ARM assembly

VHDL

Verilog

OpenGL

GLSL

Embedded System Software Development

Python

Matlab

Linux

Firmware