Dallas, Texas, United States
1. Leading the design and implementation of robust software architectures for lower GI surgical robotics, utilizing C++, Python, and web technologies (ReactJS, HTML, CSS) to develop intuitive UIs, while ensuring adherence to FDA guidelines for medical device software.
2. Specializing in the development and application of state-of-the-art deep learning models (using FasterRCNN, ResNet, U-Net, PolypNet bases notably) and computer vision techniques to enhance autonomous navigation and decision-making in robotic systems.
3. Implementing modern control algorithms, including Kalman Filters (KF) and Extended Kalman Filters (EKF), to improve the stability and controllability of robotic platforms, integrating visual servoing for precise operation.
4. Expertly processing, fusing, and integrating sensor data, creating sophisticated systems that accurately interpret and respond to complex surgical environments, driving advancements in medical robotics.
5. Managing the software development lifecycle, from planning and testing to deployment and version control, leveraging Agile methodologies to deliver high-quality, compliant, and effective robotics solutions.
6. Orchestrating the creation and expansion of one of the world’s largest annotated dataset for lower GI anatomy, applying advanced deep learning techniques and hyper-parameter tuning to significantly enhance model training and diagnostic precision of the robot.