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Prateek Sharma
Mid-level ADAS/Autonomy Software Engineer specializing in simulation, maps, and motion planning
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Robotics software engineer who owned the navigation/control stack for a commercial autonomous lawnmower at Wavemaker Labs, with hands-on sim-to-real tuning and real-world debugging. Experienced in ROS 1/ROS 2 path tracking (Pure Pursuit), including adapting ROS 2 planner code into a ROS 1 system, and building telemetry/logging to quantify tracking errors. Currently in an ADAS simulation team enabling algorithm teams with SIL/HIL and feature validation.
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Key Strengths
- Owned end-to-end navigation and control stack for a commercial autonomous lawnmower
- Strong sim-to-real debugging and tuning (identified actuator mismatch; updated simulation to match real behavior)
- Built telemetry/logging to quantify path tracking performance (max/avg offset, timing) for faster debugging
- Deep ROS expertise (ROS 1/ROS 2 planners, node development) including adapting ROS 2 code into a ROS 1 system
- Methodical real-world issue isolation using rosbag replay to reproduce intermittent failures and validate fixes
- Improved path tracking robustness by correcting lookahead logic (path-distance vs displacement) and adding guards
- Performance-focused optimization by porting algorithms from Python to C++
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