About me
My work sits where perception meets autonomy: getting a robot to estimate its pose reliably, fuse what its sensors disagree about, and act on it in the real world. I've shipped LiDAR-inertial SLAM for building-inspection robots at Joulea, trained assistive mobile manipulators at Georgia Tech's Healthcare Robotics Lab with Dr. Charlie Kemp, and explored 3D generative models for scene completion with Dr. Lu Gan. Currently, I'm a research engineer in the Healthcare AI Lab (Dr. Anant Madabhushi, GT/Emory), building deep-learning pipelines for medical-image perception.
I hold an M.S. in Computer Science from Georgia Tech (2023), am completing an M.S. in ECE (2026), and earned my B.Tech in Aerospace Engineering from IIT Kanpur (2021) — where I led the Aerial Robotics team to a national gold medal and developed GPS-denied UAV localization under Dr. Mangal Kothari.
Find me on LinkedIn, GitHub, or Twitter — or email nnagarathinam6 [at] gatech.edu.
What I work with
- SLAM & state estimation
- sensor fusion (LiDAR · IMU · UWB · GPS)
- GPS-denied navigation
- mobile manipulation & robot learning
- 3D perception & point clouds
- ROS/ROS2 · Python · C++ · PyTorch
Awards
- Sri Binay Kumar Sinha Award — best IITK project with industrial applicability and societal impact.
- General Proficiency Medal — best academic performance among IITK graduating students.
- Research Proficiency Medal — best undergraduate project work at IITK.
- Gold Medal — Inter-IIT Tech Meet Aerial Robotics Search & Rescue competition (DRDO).
Timeline
- Joined the Healthcare AI Lab (Dr. Anant Madabhushi, GT/Emory) as a machine learning research engineer.
- Started M.S. in Electrical & Computer Engineering at Georgia Tech.
- Researched semantic scene completion with 3D generative models under Dr. Lu Gan at Georgia Tech.
- Joined Joulea LLC as a Robotics Engineer — LiDAR-inertial SLAM and drone autonomy for building inspection.
- Completed M.S. in Computer Science at Georgia Tech.
- Joined the Healthcare Robotics Lab at Georgia Tech.
- Paper on GPS-denied localization and magnetometer-free yaw estimation accepted at ICUAS 2020.