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Sai Krishna mekala
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI search
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Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.
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Key Strengths
- Improving real-world navigation reliability and handling failure cases
- ROS 2 integration across navigation, localization, transforms, and sensor pipelines
- System observability: logging, monitoring, health checks, and heartbeats for runtime diagnosis
- Strong debugging workflow using sensor-data replay and visualization to isolate issues
- Localization stability tuning (particle filter, sensor noise, scan matching thresholds)
- Distributed robotics communication design with QoS tuning for latency/reliability tradeoffs
- Production-minded deployment practices: Docker + CI/CD with automated unit/integration tests
- Simulation-driven validation in Gazebo before hardware deployment
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Principal Robotics & Autonomy Research Engineer specializing in localization and multi-robot navigation
“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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