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Kimia Naeiji
Mid-level AI/ML Engineer specializing in robotics perception and AR/VR systems
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About
AI engineer with robotics perception experience at Forterra, building and deploying moving-object/obstacle detection models into real-time robot pipelines. Addressed training crashes/latency via sub-batch training and optimizer tuning, and improved debugging using ROS/ROS2 tooling with 3D voxel visualization and color-coded validation.
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Key Strengths
- Resolved training instability/crashes by implementing sub-batch training strategy
- Practical real-time deployment and validation of ML models on physical robots
- Strong ROS/rosbag troubleshooting (diagnosed missing prerequisites and fixed pipeline)
- Debugging perception systems using 3D voxel visualization and color-coding to identify errors
- Systems-minded approach to production real-time reliability (latency/resource constraints, hazards, safe-state behavior)
- Deployed sensor-driven ML models onto real robots using ROS bags
- Solved GPU/latency constraints by batching training and using F1-driven learning rate updates
- Strong focus on real-time performance and avoiding runtime lag in robotics testing
- Debugged post-deployment perception issues via hyperparameter tuning
- Clear production mindset: modularizing research pipelines and validating via simulation + hardware-in-the-loop
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2 publications
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