My primary career aspirations lie in embedded vision - I'd like to build more systems that integrate computer vision and machine learning in small, low-power SoCs and FPGAs for real-time applications. I'm currently a Software Engineer for Vehicle Firmware at Tesla, on the Battery Management Systems (BMS) team. It's a hybrid role with a mix of embedded firmware & simulation infrastructure development. I received my MSE in Embedded Systems at UPenn in 2021, and my BS in Electrical Engineering at Temple in 2019. I completed the Master's while working full-time at Lockheed as a Research Scientist. By the tail end of my time there, I was leading research teams for SAR anomaly detection, launching cloud-native micro services, and leveraging simulation for the training of deep neural nets. I interfaced directly with customers to drive new projects + features from prototype through to delivery. Earlier on, I had worked in ESD-protected labs on serial communication protocols between FPGAs and uCs. During my time in academia, I conducted research on automotive radar, joined robotics clubs, co-instructed undergraduate courses, and held multiple leadership roles. Some of my favorite memories were formed as an executive board member for Temple's IEEE chapter, where I earned a scholarship for my commitment to leadership.