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Ronak Jain
Mid-level Sensor Fusion Research Engineer specializing in autonomous vehicle perception
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About
Robotics/perception engineer with experience at Magna International building and scaling a ROS2-based autonomous vehicle sensor-fusion stack from radar+camera to include LiDAR, addressing hard problems like PTP nanosecond synchronization and probabilistic data association. Also developed and deployed a real-time 3D LiDAR object detection pipeline (PointPillars-style) optimized with ONNX/TensorRT and FP16, with strong production bringup/monitoring and rigorous simulation-to-road testing practices.
Experience
Education
Key Strengths
- Designed modular, scalable ROS2 multi-sensor fusion architecture (radar/camera/LiDAR) deployed in simulation and real-world testing
- Solved multi-sensor time synchronization using PTP with nanosecond-level accuracy
- Strong probabilistic perception fundamentals (uncertainty handling, gating/weighting, data association)
- Hands-on ML deployment for real-time LiDAR detection (PointPillars-style pipeline) with TensorRT/ONNX and FP16 optimization
- Production-oriented robotics engineering (boot-time bringup, systemd services, health/status monitoring, logging)
- Structured validation approach from unit simulation to integration, closed-loop edge-case testing, and real-world trials
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