• Responsible for real-time detection of opponent race cars and obstacles at speeds up to 180 miles per hour.• Mitigated rear-LiDAR blind spots by fusing 4D radars into the detection pipeline.• Created a custom profiling tool to record a ROS node's memory, CPU, and GPU usage.

• Researching how to make Large Language Models (LLMs) faster through more efficient memory access.• Profiling machine learning memory use in GPUs with CUDA and NVIDIA Nsight Systems.• Paid National Science Foundation position with Professor of Computer Science Jog Adwait.

• Built a user-interface and logic generator for application developers for a no-code platform.• Reduced development time by generating a first-pass user interface and logic for application developers.

• Built a platform to share material science data utilizing a Next.js frontend and an AWS OpenSearch cluster.• Collected experimental and simulation data for 5 main energetic material categories. • Created a data ingestion pipeline for >1 terabyte data imports using AWS S3 and AWS API Gateway.• Mocked and refined a search and import user interface in Figma.

• Analyzed origination, underwriting and approval of over 13,000 mortgages with R and GGPlot• Designed and built a simulation of a hydrolysis-based green hydrogen plant• Developed an image-processing pipeline for reading analog gauges using OpenCV