This blog documents how I think and build as a robotics and AI systems engineer. It combines algorithmic depth (SLAM, sensor fusion, estimation, and learning) with practical engineering concerns such as deployment, performance, reliability, and maintainability. The posts span research-style derivations, implementation notes, and field-tested lessons from real-world robotics and perception work.

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