● Designed and implemented a user interface (UI) framework for bot messages in AWS Wickr, an end-to-end encrypted‬ communication app.‬● Researched the state of the art for bot message UI features on other communication apps like Microsoft Teams and Slack.‬● Led brainstorming sessions with colleagues across the stack to discuss possible designs and implementations in AWS Wickr.‬● Enabled bot messages with features that match and exceed those in other communication apps.‬● Emphasized security and privacy in the feature design.‬● Wrote unit tests and end-to-end tests with full code coverage.‬● Presented formal demonstration of my work to about 80 AWS Wickr team members.‬

● Project 1: Collaborated with physicists and computer scientists to create HERMES. I curated protein structure datasets and‬ wrote sections of the pre-processing pipeline.‬ HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction. Gian Marco‬ Visani, Michael N. Pun, William Galvin, Eric Daniel, Kevin Borisiak, Utheri Wagura, Armita Nourmohammad. bioRxiv‬ 2024.07.09.602403; doi:‬‭ https://doi.org/10.1101/2024.07.09.602403● Project 2: Co-built (with one colleague), trained, and tested a transformer-based deep learning model in Python (using‬ PyTorch) to map protein structure to a representative low dimensional embedding.● Project 3: Helped develop convolutional neural network machine learning model in Python (using PyTorch) to learn protein‬ side chain conformations from the protein backbone. Created an objective function to properly represent angle distance cost‬ (180 as worst) and adapted the pre-processing pipeline to train on SO(3) equivariant representations of protein structure.‬● During these projects, I realized our Conda environments were consuming our allotted inodes on the UW computational‬ cluster. I took initiative to improve our development process and created an Apptainer (similar to docker) build script to hide‬ the environments in a single Apptainer image. I documented how to use the build script and image for my colleagues.‬● I used Git, Bash Scripting, Shell Utilities, and the Slurm Workload Manager on the Linux computational cluster.‬

● Researched the application of natural language processing tools in therapeutic settings.● Worked with two other students to create a Python backend that interfaced with OpenAI Whisper and ChatGPT so a robot could have a natural conversation with a human.