Swapnesh Wani is a Senior System Software Engineer at NVIDIA with a Master’s in Mechatronics and Robotics from NYU and about four years of industry experience focused on robotics, autonomy, and systems engineering. He blends data science, solutions architecture, and low-level system work—having moved from building microservice-based APIs at NYU and TIBCO to developing ADAS and robotics platforms at Columbus AI and NVIDIA. His strengths include path planning, swarm intelligence, sensor integration and deep learning, and he applies API design and modular programming principles to embedded and robotics projects. Notably, he implemented CAN-bus integration for automatic emergency braking during an autonomy internship and has trained deep networks for LiDAR depth completion as part of his graduate research. Based in the San Francisco Bay Area, he continues to expand expertise in sensor fusion and probabilistic filters for SLAM, bridging algorithm research with production-ready system software.
4 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, 3.66, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, 3.66 at New York University
Bachelor of Engineering - BE, Computer Engineering, 3.5, Bachelor of Engineering - BE, Computer Engineering, 3.5 at Savitribai Phule Pune University
NVIDIA-accelerated, deep learned depth segmentation and obstacle field ranging using Bi3D
Contributions:2 reviews, 1 PR, 2 issues in 1 year 11 months
ros2-humblejetsonnvidiaros2deep-learning
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Swapnesh Wani - Senior System Software Engineer at NVIDIA