Resume
Bibin Chandrashekaran Nair
Senior Robotics and Embedded AI Engineer
Robotics and embedded AI engineer with more than 15 years of software experience, including seven years building autonomous systems. Focused on sensor fusion, edge inference, and real-time software.
Work Experience
Senior Engineer - Autonomy and AI
- Design and develop visual-inertial odometry and sensor-fusion pipelines for UGVs operating in GPS-denied environments on NVIDIA Jetson AGX Orin.
- Implement and evaluate classical and learned feature descriptors and matchers for the VIO frontend.
Lead Robotics Software Engineer
- Designed and developed a multithreaded real-time robotics control platform for a legged platform, achieving a 1 kHz hybrid classical and reinforcement-learning control loop.
- Developed and optimized edge inference pipelines for perception models on ARM64 platforms using TensorRT and ONNX Runtime.
Research Engineer – Volvo Autonomous Bus Project
- Led perception and software-stack integration for a 12 m autonomous bus and served as the primary technical liaison with Volvo engineering teams.
- Engineered a multi-LiDAR SLAM system with under 20 cm localization accuracy in GPS-denied urban environments.
Research Engineer – Future Mobility
- Designed, developed, and validated autonomous-driving software for an electric golf cart and road sweeper.
Earlier Experience
Research Associate, Nanyang Technological University, Singapore · November 2015 – June 2017
Software Engineer, Harman International, India · March 2013 – June 2014
Senior Software Engineer, Tata Consultancy Services, India · August 2008 – February 2013
Education
MSc. Computer Science (Artificial Intelligence)
GPA: 3.9/4.0
MSc. Embedded Systems
BTech. Mechanical (Automobile) Engineering
Skills
Programming Languages
C, C++17/20, Python, Go, JavaScript
Operating Systems
Real-time Linux (PREEMPT_RT), QNX, FreeRTOS, Xen Hypervisor
Robotics and Perception
ROS 2, DDS, PCL, OpenCV, Isaac ROS, Isaac Sim, SLAM, Sensor Fusion
Machine Learning
PyTorch, scikit-learn, TensorRT, ONNX Runtime, MLflow, Weights & Biases