With hands-on experience in robotics research, I specialize in multi-sensor fusion, mapping, system integration, and optimization-based algorithm design. My work combines LiDAR, radar, and camera data to build accurate, scalable environmental maps, while leveraging optimization theory to develop innovative, efficient solutions for complex robotic challenges.
I collaborate with academic teams and industry partners to tackle the hardest problems in autonomous mobility, bridging the gap between cutting-edge algorithms and real-world deployment. Whether it’s improving perception pipelines, advancing mapping techniques, or crafting optimization frameworks that push performance limits, I approach each project with precision, curiosity, and a focus on impactful results.
English