- Implemented an RTOS task in embedded C for sending sensor data from a mobile infusion pump to a C# Windows Forms application for display, reducing developers’ time spent debugging by 25%- Developed a solution in C for monitoring and reporting the health of 50+ real-time tasks running across multiple processors in an infusion pump’s distributed embedded system- Cooperated with a team of hardware and software engineers to track 20+ agile development tasks in Jira

- Collaborated with researchers at Vanderbilt University to develop a cleaner, error-free version of the RVL-CDIP dataset, the industry standard benchmark for image-based document classifiers- Parsed 40000+ scanned documents and OCR data to create image hashes and word/sentence embeddings for training machine learning models, evaluating their performance using various metrics- Created Python tools for manually labeling images and identifying label errors for small sets of data

- Continued developing a dynamic, full stack web application with frontend 3D data visualizations using NodeJS and the Three.js 3D rendering API, coupled with a backend written in NodeJS- Managed the storage of data in PostgreSQL databases, as well as interactions and authentication between clients, program servers, and databases using custom REST and websocket APIs- Parsed and analyzed output from Google’s MediaPipe and Ultralytics’ YOLOv8 computer vision models in Python to create in-house tools for creating and rendering 3D models- Continued to expand my Blender skillset by modeling, sculpting, and animating new 3D models

- Collaborated with a team of interns to create an interactive dashboard amassing server and product data from 200+ locations, displaying the data through graphs and 3D scenes- Began developing a dynamic web application with frontend 3D data visualizations using NodeJS and the Three.js 3D rendering API- Learned to use Blender software to model, texture, animate, and render complex 3D models for use in web visualizations