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About
Robotics/AI Master's thesis researcher building an LLM-driven workflow to generate and evaluate robot policies before running them in an environment. Also built a local LLM-based real-time target-tracking robot using a pan-tilt camera with LangChain + Ollama, and has hands-on ROS 2/Gazebo experience including URDF-based simulation and a TurtleBot multi-agent chase project.
Experience
Research AssistantInteractive Robotics Lab, ASU
Research AideiMPACT Lab, ASU
Software EngineerJio Platforms
Education
Arizona State Universitymaster, Robotics and Autonomous Systems (Artificial Intelligence) (2026)
University of Mumbaibachelor, Information Technology (2022)
Key Strengths
LLM-driven robotics research (policy generation/evaluation before environment execution)
Built ROS 2 project simulating a TurtleBot chaser with randomized multi-agent behavior
Applied DFS maze-solving and inverse kinematics to execute motion plans on a Cobot 600 Pro
Strong grasp of ROS 2 fundamentals (topics, namespaces, launch/config files)
Communicates technical concepts via Medium articles
Reference Highlights
Strongly Recommended
well-versed in robotics software technical abilities
proficient in robot simulations
strong at reproducing research results
effective debugging and finding optimal ways to reproduce results
strong at reading research and identifying plausible bottlenecks
innovative in making approaches optimizable
able to turn ambiguous technical problems into practical plans
aligns early to avoid confusion
shares intermediate results
takes feedback constructively
documents progress well
adapts well to fast-paced settings
creates strong mental models of tasks
identifies constraints and iterates thoroughly
strong engineering fundamentals
strong research instincts
communicates well and stays aligned to goals
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