Mid-level Robotics Engineer specializing in SLAM, perception, and state estimation
Robotics Engineer4 years experienceMid-LevelRoboticsAutomotiveManufacturing
ScreenedIdentity Verified
Connect with Thirumalaesh
Thirumalaesh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Robotics software lead with 4+ years of ROS/ROS2 experience spanning a startup (Inductive Robotics) and General Motors, building autonomous mobile manipulation and AMR material-handling stacks. Has hands-on depth in SLAM/navigation (Cartographer/Nav2), perception, and simulation, and has directly modified Cartographer to handle real-world sensor dropouts. Currently working on fleet-scale mapping capabilities (map merging/editing, trajectory pruning) for multi-robot deployments.
Experience
Robotics EngineerGeneral Motors
Robotics EngineerInductive Robotics
Robotics and Software Engineering InternTrossen Robotics
Robotics and Automation EngineerSwiss Ranks
InternIndira Gandhi Center for Atomic Research
Graduate Student Instructor - Programming for RoboticsUniversity of Michigan - Ann Arbor
Education
University of Michigan - Ann Arbormaster, Robotics (2024)
PSG College of Technologybachelor, Robotics and Automation (2021)
Key Strengths
Led end-to-end software stack development for an autonomous mobile manipulator (ROS-based SLAM, navigation, manipulation, perception)
Creative software workarounds for hardware/environment constraints (vision-based heading feedback loop in high-friction uneven parking lot)
Deep ROS/ROS2 integration across navigation, SLAM, manipulation, and tooling (Nav2, Cartographer, MoveIt, robot_localization, Gazebo/RViz/rqt)
Strong real-time debugging and root-cause analysis using topic monitoring and sensor/timestamp validation (identified IMU dropouts via rqt gaps)
Ability to modify and extend core open-source robotics packages for robustness (patched Cartographer to fall back to wheel-odom orientation during IMU loss)
Systems-level troubleshooting of estimation behavior and parameterization (identified landmark weight rebasing causing pose jumps; corrected weighting)
Simulation-driven development and demos (custom Gazebo worlds, modified Husky sim, added sensors/plugins)
Improved engineering workflow quality via CI/CD enhancements (added unit tests and baseline performance metrics) and containerized development (Docker)
Discover more candidates like Thirumalaesh
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.