Nvidia DriveOS + NvStreams Team

◦ Evaluated reflected FMCW radar signals to precisely classify targets as either static objects or stationary humans (Python)◦ Utilized Fast Fourier Transforms (FFTs) and phasor analysis to assess object distance and velocity from detected radar antenna

◦ Wrote a custom sensor driver for the KX134 accelerometer to establish communication between a micro-controller and thesensor via the Serial Peripheral Interface (SPI) in C++◦ Established an interface for register read and write operations with the accelerometer sensor (C++)

◦ Developed real-time RF pulse visualization in Windows Presentation Foundation (WPF) by implementing a multi-threading approach using mutex locks and inter-thread signaling for precise thread synchronization (C#)◦ Engineered a dynamic link library (DLL) to centralize connection protocols, such as RS-232 connection to FPGA and ethernet connection to spectrum analyzer, resulting in the expedited development of internal tools (C++)◦ Improved server/client library with cyclic data buffering and reduced connectivity issues (socket programming)◦ Streamlined testing procedures by programming RF signal interactions among a signal generator, FPGA board, and spectrum analyzer, effectively doubling testing efficiency (C++)

◦ Deployed text-to-speech, speech-to-text, and conversational agent LLM to simulate human conversation◦ Produced REST API using FastAPI to hold LLMs and receive audio data from Unity via HTTP requests (Python, FastAPI)◦ Programmed kinematic physics interactions in Unity and created custom models and animations for Oculus Simulation (C#)◦ Presented work to local community college and 30+ AbbVie employees including upper level management

◦ Conducted competitive analysis and market research to determine the optimal product strategy for $2 billion tech unicorn◦ Interviewed potential customers to determine customer price sensitivity and competitor pricing strategies (10+ total interviews)

Developed React.JS website to help start-up broaden its reach and expand its product

Launched an app to enable students to view tutor availability from their smart phone (300+ users)