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Vetted Gazebo Professionals
Pre-screened and vetted.
Jafeeza Shaik
Mid-Level Software Engineer specializing in cloud-native microservices and data platforms
“Robotics software engineer focused on multi-robot fleet orchestration in ROS 2, owning the fleet manager and task dispatch layer for pick/drop workflows. Strong in real-world reliability and safety (heartbeats, idempotent tasking, E-stop/localization confidence gates) and in debugging timing/state issues via telemetry alignment and rosbag replay, with experience in simulation, CI/CD, Docker, and Kubernetes-based deployments.”
Pree Simphliphan
Intern Software Engineer specializing in robotics, embedded systems, and AI
“Senior design robotics engineer on a "Grocery Robot" project selected for the final round of the $10K SICK Challenge, owning ROS2 system design and behavior-tree-based task orchestration across multiple independently developed modules. Also implemented I2C/ESP32 collision avoidance, IK control for a robotic arm, and a Node.js ordering system, with additional research experience using RPLIDAR-based SLAM.”
Varun Senthil Kumar
Intern Robotics & Cloud/DevOps Engineer specializing in autonomous systems
“Robotics-focused engineer with hands-on projects ranging from a solo Dobot Magician Lite tic-tac-toe system (computer vision + minimax) to integrating an LLM with a Dobot arm for real-time pick-and-place via structured action outputs and validation. Also brings prior full-time DevOps experience (Docker/Kubernetes and CI/CD) and has used ROS/Gazebo for simulation work, including exploring improvements to crowd-aware navigation using human-trajectory datasets.”
Tanish Katial
Junior Robotics Engineer specializing in motion planning, controls, and autonomous systems
“Robotics engineer who built an autonomous driving mobile robot software stack at Boston University using ROS on an NVIDIA Jetson Nano, integrating LiDAR + stereo vision with YOLOv5 and a probabilistic occupancy grid for planning. Demonstrated real-time systems rigor (multi-rate ROS nodes, 50ms sync, profiling/instrumentation) and optimized YOLOv5 with TensorRT, citing ~30% accuracy improvement; also taught ROS workshops to 50+ students.”
Entry-Level Robotics Engineer specializing in deep reinforcement learning and sim-to-real control
Mid-level Robotics Engineer specializing in autonomous systems and robot perception
Junior Hardware/Software Engineer specializing in UAV systems and embedded sensor fusion
Junior Robotics Engineer specializing in autonomous systems, perception, and motion control
Junior Robotics & Machine Learning Engineer specializing in perception, SLAM, and control
Mid-level Software Engineer specializing in ML systems, robotics, and healthcare imaging
Junior Robotics & Vision Engineer specializing in industrial automation and 3D machine vision
Junior Robotics Engineer specializing in autonomous navigation and perception
Mid-level Robotics Research Engineer specializing in autonomous systems and reinforcement learning
Senior Robotics Software Engineer specializing in automation, ROS, and AI-assisted diagnostics
Mid-level Robotics Software Engineer specializing in multi-robot coordination and ROS2 autonomy
Senior AI/Robotics Engineer specializing in GenAI, LLM serving, and computer vision
Senior Robotics Software Engineer specializing in ROS2, SLAM, and autonomy
Senior Robotics & Machine Learning Researcher specializing in planning under uncertainty
Mid-level Robotics Engineer specializing in autonomous inspection robots and computer vision
Entry-level Robotics Engineer specializing in SLAM, sensor fusion, and autonomous navigation
Mid-level Robotics Software Engineer specializing in SLAM, perception, and UAV autonomy