Ritika Ghosh

About

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.

Experience

Education

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