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Sai Vamsi
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
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About
ServiceNow engineer who built an AI-powered ticket summarizer end-to-end (RAG with vector DB + GPT, Redis latency optimizations, fallback summarization, and a React UI widget for agent feedback). Also has hands-on ROS 2 experience building real-time sensor-fusion nodes (LiDAR/IMU), debugging SLAM/navigation issues via rosbag + EKF tuning, and bridging heterogeneous robots by translating ROS 2 topics to MQTT/JSON. Strong DevOps background with Docker, Jenkins CI/CD, and Kubernetes orchestration for scalable deployments.
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Key Strengths
- End-to-end ownership of AI summarization product (RAG pipeline through UI)
- Low-latency, reliability-focused engineering (Redis caching, fallback summarization)
- Hands-on ROS 2 development for real-time sensor fusion (LiDAR/IMU) and state publishing
- Systematic real-time debugging using rosbag replay, TF/map log analysis, and EKF parameter tuning
- Cross-platform robotics communication via protocol translation (ROS 2 to MQTT/JSON bridge)
- Production deployment experience with containerization and Kubernetes-based CI/CD
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“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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