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MC
Meghana Chintalapati
Junior Robotics & AI/ML Engineer specializing in multi-agent reinforcement learning and computer vision
College Station, TXGraduate Research Assistant1 years experienceJuniorTechnologyRoboticsArtificial Intelligence
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About
Robotics software candidate whose thesis focused on multi-robot warehouse coordination using MAPPO reinforcement learning, trained in simulation (LBF environment, Isaac Sim/RViz) and deployed onto three real-time robots. Built custom ROS 2 Humble nodes for multi-robot control with namespaces, TF broadcasting, and an RL pipeline integrating LiDAR odometry and camera observations.
Experience
Graduate Research AssistantTexas A&M University
Graduate Teaching AssistantTexas A&M University
AIML Engineer InternSpacer Robotics
Education
Texas A&M Universitymaster, Computer Engineering (2026)
CMR College of Engineering and Technologybachelor, Electronics and Communication Engineering (2024)
Key Strengths
- End-to-end ownership of a multi-robot RL thesis project (training, tuning, simulation, real-robot deployment)
- Deep practical ROS 2 experience for multi-robot systems (namespaces, cmd_vel control, TF broadcasting, RViz)
- Strong debugging of real-time robot behavior using TF timing/staleness analysis
- Ability to port/align RL observation spaces across different simulation platforms
- Integration of realistic simulation sensors (LiDAR odometry, camera) into an RL control pipeline
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