- Engineered a variety of Convolutional Neural Networks for upscaling images, leveraging the latest research-backed techniques.- Designed and implemented a framework for efficiently aggregating terabytes of image data from diverse sources into a unified storage system.- Improved existing infrastructure to parallelize the workload for large-scale validation pipelines while utilizing cloud compute power.

- Utilized various Generative Adversarial Network architectures to solve an image to image translation problem- Virtualized a bottleneck in my team’s workflow to improve development speed and save company resources- Created tool to automate the deployment of intensive training jobs within Apple’s internal ML infrastructure

- Created and tuned a Convolutional Autoencoder, an LSTM Autoencoder, and an LSTM in order to compare the performance benchmarks of each model- Restructured a Deep Autoencoder to fit into the rigid structure required by the Keras-Tuner API- Programmed an optimization suite to improve each model via multiple passes, utilizing Bayesian Hyperparameter Optimization- Streamlined the workflow of the optimization loop to make the process require far less resources

- Led a team of fellow researchers under the guidance of Dr. Maria Pantoja- Improved the performance of a Recurrent Neural Network that can predict future cloud irradiance - Optimized cloud segmentation using template matching algorithms in all-sky images - Manipulated and processing images using OpenCV and other various Python packages- Wrote and submitted an academic paper on the specific optimizations that our group performed on the Recurrent Neural Network

- Provided additional help to students taking Computer Architecture (CPE 315) - Held additional office hours outside of the Professor's scheduled office hours to aid with questions- Scheduled 1-on-1 Zoom meetings with students that are falling behind and need help- Graded papers and projects the students perform in a timely manner

- Deployed Javascript back-end code to interface with Google Firebase's Realtime Database - Created and tested numerous Google Cloud functions in Javascript- Developed software to erase a company's Google Cloud storage bucket recursively- Performed UI/UX Development using the React.js Javascript Library - Used Git extensively while pushing certain portions of code to an online repository

- Diagnosed problems with used Macbooks and iPads- Imaged various devices to prepare to sell them as new products- Audited used Macbooks and iPads and categorized them in classes based off their damage

- Facilitated Laboratory Experiments involving complex circuits- Focused on Battery Usage in Drones - Tested hardware in the Batteroo product itself

- Gained experience with Oscillators, Voltmeters, Ammeters, Power Supplies, etc.- Helped Solder Circuits and learned about Hardware Design in various consumer electronics- Learned about the chemical properties of Alkaline AA Batteries and how to improve them