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Rayyan Alam
Junior Robotics & Machine Learning Engineer specializing in autonomy and RAG systems
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About
New-grad robotics software engineer with hands-on ROS 2 autonomy experience (Nav2, SLAM Toolbox, AMCL) and a strong track record debugging real-world instability (QoS, lifecycle timing, sensor dropouts). Built an HRI speech system on a Stretch 3 robot with deterministic, context-aware templates to manipulate trust/competence/emotion conditions, and integrated an LLM high-level planner that outputs PDDL for classical task planning and replanning.
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Key Strengths
- Designs deterministic, context-aware robot speech behaviors for HRI studies (tone/competence/emotion conditions)
- Strong ROS 2 navigation stack experience (Nav2, SLAM Toolbox, AMCL, TF, QoS)
- Methodical real-time debugging: isolates subsystem failures using TF inspection, RViz costmap vs /scan comparison, and logging
- Stabilized navigation by fixing structural issues (QoS, sensor publishing reliability, lifecycle/timing coordination) rather than over-tuning algorithms
- Builds LLM-to-classical-planner (PDDL) pipelines enabling natural-language task planning and replanning on failures
- Architects distributed robot systems to keep safety-critical control loops isolated from latency-prone components
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