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Sachin Kulkarni
Mid-level AI/ML Engineer specializing in LLMs, NLP, and AWS MLOps
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About
Recent master’s graduate in robotics with applied experience across reinforcement learning and ROS 2 autonomy stacks. Built an RL-based drone vertiport traffic controller (PPO) focused on reward design and simulation integration, and has hands-on navigation work in ROS 2 including LiDAR preprocessing, SLAM/path planning, and stabilizing TurtleBot3 wall-following. Also brings deployment experience containerizing robotics nodes and scaling them with Kubernetes on AWS.
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Key Strengths
- Designed and tuned RL reward functions for drone vertiport landing/takeoff management using PPO
- Hands-on ROS 2 sensor pipeline work (LiDAR /scan preprocessing for downstream navigation)
- Debugged and stabilized real-time TurtleBot3 wall-following by logging, parameter tuning, control-loop adjustments, and sensor filtering
- Multi-robot ROS 2 communication design using standardized interfaces, namespaces/frame isolation, and QoS reliability tuning
- Simulation-first robotics workflow using Gazebo to validate navigation behaviors before real-robot runs
- Containerized robotics stacks and deployed/scaled with Docker and Kubernetes on AWS
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