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Agam Modasiya
Mid-level GNC Software Engineer specializing in robotics, autonomy, and controls
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Robotics software engineer with hands-on sim-to-real experience: built and deployed a reinforcement-learning vision policy at The Boring Company to align a robot end effector to tunnel lining engagement holes, owning the full pipeline (SolidWorks/URDF modeling, PyBullet + Stable-Baselines3 training, and on-machine deployment). Also modified ArduPilot and tested custom drone algorithms via ROS/Gazebo using MAVROS and VICON-based localization.
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Key Strengths
- End-to-end ownership from system design through deployment on real robot
- Applied RL for vision-based end-effector alignment and validated on physical hardware
- Pragmatic handling of real-world constraints (stiction/latency) by incorporating them into training
- Strong simulation-to-hardware workflow (Gazebo/ROS to real drones)
- Methodical debugging approach: isolate low-level control issues before higher-level logic
- Algorithm validation via benchmarking against classical PID
- Effective use of logging/instrumentation to diagnose issues when modifying flight stack source code
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“Highly experienced robotics software engineer building ROS/ROS2 systems for fleets of autonomous mobile robots (Clearpath Jackal/Husky and custom platforms), spanning localization, navigation, and multi-robot coordination. Has published work at ICRA (including RL-based local planning and heterogeneous robot coordination via a ROS-to-ZMQ bridge) and maintains open-source ROS modules, with strong simulation, debugging, and CI/CD practices.”
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