I work in the innovative realms of Machine Learning (ML) and Robotics, particularly emphasizing Computer Vision applications. My role involves a dynamic blend of responsibilities: I actively research and apply ML models for robotic systems, ensuring their robustness and efficiency. A significant part of my work includes assisting PhD student Jeremy Collins in his groundbreaking ML-based research projects, offering both technical and creative insights.In the realm of practical applications, my contributions extend to the hands-on building and maintenance of various robotic systems, applying theoretical knowledge to real-world scenarios. Specializing in Computer Vision, I leverage these techniques to significantly enhance the functionality and autonomy of robotic systems. Further, I delve into the complexities of reinforcement learning and long-horizon task planning, aiming to optimize the decision-making processes in robotics.

As a Research Ambassador at the Undergraduate Research Association (URA), I play a pivotal role in guiding undergraduates towards research opportunities and enhancing the research engagement between faculty and students. My work involves mentoring students, facilitating connections with professors, and actively promoting a dynamic research culture within the undergraduate community. This role is integral to enriching the academic and research experiences of students at our institution.

During my internship at Amazon, I had the unique opportunity to delve into the complexities of AWS Glue and Lake Formation, where I contributed to optimizing data processes that are fundamental to robust, scalable cloud solutions. This experience not only expanded my technical prowess but also deepened my appreciation for cloud architecture's potential to revolutionize data handling and analytics in real-time.

Published paper on Visual Estimation of Fingertip Pressure, accepted to WACV.Designed a testing platform for various Hand Pose algorithms for optimal pressure vision testingHelped maintain day-to-day activities within the lab

At iVue Robotics build commercial drones, systems to control them, a platform to create apps for use at home and work.o Image Processing → Automatically process images captured and wirelessly streamed to the cloudo Laser-tag drone → creating a module software for drone-as-a-player in laser-tag game and enable a drone to be another player in a laser tag gameo Using a camera and laser mounted on a drone, track a person, and predict the path of movemento Using calculus and trigonometry intelligently move the drone to fire a laser at a persono Vary different variables including accelerometer, altitude, yaw, and angle of the laser, move drone within a 3D space in order to accurately fire during a laser-tag game

Led a 30+ member AI club, teaching fundamental and advanced AI concepts like computer vision and natural language processing. Secured sponsorships and built real-world AI projects, fostering hands-on learning experiences.PROJECTS (CafeterAI, DroneAI, Jetson Robot, ID Scanner)o CafeterAI (Automated cafeteria checkout) o DroneAI (Following drone) o Jetson Robot (Automated miniature car) o ID Scanner (School ID Scanner)

Collaboratively designed, built, and programmed robots for the FIRST Robotics Competition, achieving state-level victory and advancement to higher-level challenges. Employed CAD, 3D printing, and iterative optimization to maximize robot performance in autonomous and driver-controlled tasks. Fostered teamwork across disciplines and mentored younger students, continuing a legacy of knowledge sharing.