I recently graduated from Purdue University with a MSECE, eager to leverage my engineering background in the field of Artificial Intelligence to pioneer responsible advancements. During my studies, I undertook a significant personal project focused on automatically transcribing and summarizing meeting recordings using open-source models. This initiative gave me the opportunity to learn a wide array of technologies, including automatic speech recognition, punctuation and capitalization modeling, forced alignment, speaker diarization, and large language models with retrieval-augmented generation.My current focus extends to enhancing this project with named entity recognition and coreference resolution, aiming to automatically identify speakers through contextual clues in transcripts. Additionally, I have delved into optimization techniques for deep learning, reinforcement learning, and quantum computing, intrigued by their potential to bring science fiction concepts into reality when applied thoughtfully.As a Graduate Teaching Assistant for Electrical Engineering Senior Design, I facilitated students in mastering technical concepts while emphasizing the importance of clear communication to both technical and non-technical audiences. My tenure culminated in developing guidelines that accommodate varying experience levels in digital design projects.Beyond academics, I actively contributed to Purdue’s IEEE-HKN Beta Chapter as the facilities director, initiating projects to modernize our digital infrastructure. I successfully guided the chapter through the move-out phase of a relocation process, ensuring preparedness for seamless operations in our new facility.Looking ahead, I am eager to collaborate with an engineering team dedicated to developing AI-driven solutions that address both societal challenges and everyday needs. I am passionate about championing responsible, efficient, and accessible design principles in AI development.