Evaluated AI-generated responses using a Side-by-Side (SxS) scoring system, enhancing model accuracy by ranking based on key dimensions

Conducted comprehensive testing of their LLM, meticulously analyzing functionality, usability, and performance to ensure adherence to quality standards and user requirements

Developed and executed detailed test plans and test cases, identifying defects and anomalies through systematic testing methodologies, and effectively communicated findings to development teams for resolution

Diagnosed and resolved a range of software, hardware, and connectivity issues

Debugged, fixed, and replaced campus devices and software

Provided quality assistance to staff with last minute inquiries

Spearheaded the creation of a convolutional neural network using YOLOv4 implemented in PyTorch, which achieved a mAP of 80% at 24 frames per second

Designed and constructed a pipeline to automatically download and create validation and test datasets from an AWS database, improving workflow by 30%

Leveraged Dash and Plotly to develop an interactive web application that allowed researchers to use the model for inference on video files and visualize data

Collaborated with the UI/UX team to modernize the website frontend using React, translating Figma designs into functional web pages and reusable components

Debugged the UI of a Flutter mobile application, handling page routing and visual bugs

Conducted research focused on ways to utilize the ChatGPT API to generate detailed instructions