• Designed and implemented system architecture for a surgical robot platform, ensuring reliable, efficient, and easy-to-use software components.• Led software development and code reviews for robotics algorithms and workflow, collaborating closely with multi-functional teams to support product development across different phases.• Optimized high-performance real-time software used in robot platform, resulting in faster and more reliable performance.• Provided guidance, feedback, and mentorship to a team of robotics software engineers to ensure their success and the success of the overall project.

Joined J&J Robotics and Digital Solutions division, which acquired Verb Surgical Inc. in 2020.

• Designed software architecture and led the software development efforts to control a variety of surgical instruments on a medical robot platform, utilizing real-time C++ software.• Developed control algorithms to achieve position and force control of surgical instruments, integrating key safety features to ensure reliable and safe operation.• Coordinated cross-functional activities between control, software, systems, testing, and mechanical design teams throughout different stages of the product development process.

• Formulated and converted innovative ideas for industry-wide robotics applications with software and hardware development.• Conducted research on machine learning algorithms for robot learning from different sensing modalities, expanding the capabilities and adaptability of intelligent systems. • Secured several patents related to robotics technology, demonstrating creativity and technical expertise in the field.

Thesis: Performance Guaranteed Human-Robot Collaboration through Correct-by-Design

• Designed Robot Learning from Demonstration (LfD) framework using automata learning algorithm to reduce human demonstration load.• Implemented the automata learning LfD framework on Baxter robot platform using C++, ROS and Python for object feature tracking and behavior planning.• Facilitated a robot manipulation project presented to the President of Bosch Central Research.