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Ritika Ghosh
Junior Robotics & AI Engineer specializing in ROS2 autonomy and real-time computer vision
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Robotics software engineer from Stanley Black & Decker’s autonomous team who built and deployed a ROS2-based model predictive control system for a commercial autonomous lawn mower, integrating real-time localization, Nav2 planning, and custom control under real-time constraints. Has hands-on field debugging experience (Foxglove, TF timing, covariance/noise tuning) to resolve issues that only appeared outside simulation, plus containerized deployment and CI/CD experience.
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Key Strengths
- End-to-end integration of ROS2 autonomy stack (localization, Nav2 planning, MPC control)
- Design and deployment of ROS2-based MPC controller for real-world path tracking robustness
- Real-world debugging of navigation/control issues using logging, TF timing checks, and Foxglove
- Localization noise/covariance tuning to stabilize controller behavior in field conditions
- Simulation-to-field validation using Gazebo and hardware-in-the-loop testing
- Containerized deployment and automated build/test via Docker and GitLab CI/CD
- Experience building distributed perception pipelines with Redis/PostgreSQL synchronization
Reference Highlights
- Very good technical abilities in robotics software
- Independently developed a ROS 2 package for legacy hardware
- Strong debugging skills
- Effective at learning from documentation
- Work had lasting impact (others used it after she left)
- Successfully deployed code on real robots
- Successfully trained and deployed machine learning algorithms
- Strong foundation for multi-robot coordination/distributed systems
- Strong collaborator (high marks from teammates)
- High engineering quality
- Passion for robotics/software work
- Would be hired again (enthusiastic rehire)
- Familiar with ROS 2, C++, and Python
- Developed a motion controller in C++/ROS 2
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