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Divyam Agarwal
Intern Software Engineer specializing in robotics, perception, and machine learning
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Robotics software intern (Summer 2025) at Ola Krutrim working on 2W/4W ADAS: integrated an ASM330LHH IMU over I2C, performed camera-LiDAR intrinsic/extrinsic calibration, built an interactive calibration GUI, and optimized a camera-LiDAR fusion pipeline (cut latency from ~500ms to ~200ms) including CUDA parallelization and Kalman filter-based lane tracking. Strong ROS 2 background with URDF/Gazebo simulation and custom ROS2 Arduino bridge work for hardware control.
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Key Strengths
- End-to-end ADAS contributions across IMU integration, calibration, fusion, and tracking
- Performance optimization of real-time camera-LiDAR fusion (500ms to 200ms) via filtering and voxelization
- Rapid upskilling to implement CUDA parallelization for further speedups
- Built interactive GUI tool for camera-LiDAR point cloud to image alignment fine-tuning
- Able to ramp quickly in unfamiliar codebases using structured system mapping (mindmap/data-flow graph)
- ROS 2 simulation-to-hardware experience (URDF/Gazebo + custom ROS2 Arduino bridge implementation)
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