As the Founder and Executive Director of Cosmythm, I oversee the development of the SAGAN Model with Team Lumina. This innovative deep learning model transforms astronomical data into auditory waveforms, making complex space phenomena accessible through sound and enhancing our understanding of the universe for diverse audiences.

I founded Cosmythm, a nonprofit organization recognized by NASA, ESA, and other leading institutions. Our mission is to make astronomy accessible through sonification, enabling visually impaired students to explore the cosmos. We focus on innovative research and educational initiatives, bridging the gap between science and accessibility for all.

As a Prompt Engineer at FlowTrials, I am responsible for developing and optimizing the chatbot "Trial Buddy." My role involves crafting precise, engaging prompts to ensure the chatbot delivers accurate and helpful responses. I focus on enhancing user interaction, refining the chatbot's conversational abilities, and improving its overall effectiveness in guiding users through trials.

At Stealth Startup, I lead the research and science of Machine Learning and Robotics, driving our technology strategy. My focus is on creating innovative ML algorithms and robotic systems that push industry boundaries. I collaborate with teams to ensure our solutions align with our vision, positioning Stealth as a leader in cutting-edge technology.

Working under the mentorship of Prof. Jeff Wiener and Julia Woithe at CERN was an extraordinary experience that deepened my passion for particle physics. From exploring cutting-edge experiments to understanding the intricate mechanisms of the universe, every moment was a blend of discovery and inspiration. Their guidance not only enhanced my technical skills but also instilled a profound appreciation for collaborative science. It was a privilege to learn from such pioneers in the field, and this experience continues to shape my scientific journey.

During my internship at MAST Organization, I worked with Sam Bianco on analyzing supernova light curves using Generative Adversarial Networks (GANs). I collected and preprocessed data, developed a GAN model, and conducted analyses to improve supernova classification. This experience enhanced my skills in astrophysics, machine learning, and data-driven problem-solving.

At the Center for Astrophysics, I collaborated with Paul Antonucci, focusing on the MicroObservatory project. I gained hands-on experience working with FITS images, learning how to analyze astronomical data captured by these advanced tools. This experience deepened my understanding of astrophysical imaging and data processing, crucial for supernova detection and research.