• Participated in Shadow Removal to Enhance Fine-Context Shadow Detection research; experimentedRestore to Detect (R2D) method• Developed and trained deep neural network algorithms and data visualizations for restoration of small, unclear, or blurry edges.• Paper submitted at Computer Vision & Pattern Recognition: https://arxiv.org/abs/2109.09609v1 (ML , CNN, Python and Matlab)• Worked with: Vishal M Patel, Vision & Image Understanding (VIU) Lab

• Lead/mentor a group of 60 people in designing and machining a 125lb robot capable of simultaneous localization and mapping. As VP, my duties involve: managing project schedule, resource allocation, task assignment, quality control, writing daily meeting reports, creating 3D CAD models, and recruitment. In FRC, an international robotics competition, I helped lead our team to 1st place in our district for the first time in 15 years, plus two of the highest distinctions in the robotics community.• Designed and built smaller robots for outreach events (e.g. - 4‑H National Youth Science Day, Every Girl Can STEM Conference) to promote interest in robotics and STEM• Quarterfinalist, FRC World Championships 2019; 1st Place & 2x Entrepreneurship Award FRC District Competition 2019; Engineering Inspiration Award, FRC District Competition 2020

• Implemented different encryption and decryption programs in Python such as Shift, Vignette, Matrix, Hill and Affine ciphers, which were used to train machine learning algorithms to validate the accuracy of these programs• Worked with: William Gasarch, Cryptography & Machine Learning Lab

• Received course instruction from professionals in the cybersecurity community on security breaching situations, and how to recognize and crack common security problems; Worked in a UNIX / Virtual Machine environment• Worked with: Prof. Nima Zahadat, Digital Forensics and Cybersecurity Lab