Medical device startup focused on developing an innovative AR headset attachment that integrates key surgical tools into an AR interface. Backed by Carnegie Mellon’s incubator and UPMC, and funded by Pittsburgh Center for Medical Innovation and UPitt.Drive product design by collaborating with surgeons to define requirements and using CAD and 3D printing for iterative design and testing. Assist in integrating hardware and software to optimize functionality for real-time surgical navigation.Chief Operating Officer responsible for Financial Management; Pitch Presentations to communicate firm's vision and attract investment; Marketing strategies to enhance product visibility; Website and LinkedIn management.

Stealth startup leveraging Machine Learning to optimize clinical trial processes. Led a cross-functional team of 6 to define product features through doctor interviews and client feedback. Created requirements, developed product roadmaps, and designed wireframes.Facilitated daily stand-ups and drove iterative development based on feedback. Successfully piloted solution, securing 5+ clients, demonstrating effectiveness of the models in real-time applications.

Adapted current AI algorithm for drug discovery, with the primary use case targeting Parkinson's disease. Trained models on research papers to allow for strong causation-effect relationships. Assisted in coding an interactive interface for scientists, significantly reducing research time and improving workflow.

Developed next iteration of the HeartLander, a nanorobot for minimally invasive heart surgery, by enhancing its machine learning-based locomotion and sensor for improved performance and accuracy. Conducted animal testing in collaboration with UPMC to ensure effective functionality in clinical scenarios.