Robotics Software Engineer focused on the autonomy stack: navigation, localization (SLAM), sensor fusion, and perception. I build in ROS, ROS 2, C++, and Python across wheeled, legged, and humanoid platforms.

MSc Mechatronics Engineering candidate at Politecnico di Torino (2025 to 2027), BSc Mechatronics Engineering from Menoufia University (2024).

Deep-diving into hybrid indoor/outdoor localization, sensor fusion, and behavior-tree based navigation architectures.

Robotics Engineer, Gatein Technology (Feb 2025 to July 2025) Designed and deployed autonomy algorithms across wheeled vehicles (AgileX Pro: SLAM, A* path planning, swarm coordination), humanoids (Neo, Yanshee: computer vision, kinematic control), legged robots (TRON-1, Go2: locomotion planning, terrain adaptation), and robotic arms (grasp planning, trajectory optimization). Implemented ROS/ROS 2 solutions validated via Gazebo simulation and real-world testing, and reduced on-site integration time by 30% through technical manuals and troubleshooting protocols.

ROS Developer Intern, Karthikesh Robotics (Jan 2025 to Feb 2025) Optimized ROS-based simulation environments for autonomous navigation, resolved localization and mapping discrepancies with a remote cross-functional team, and developed custom ROS nodes for sensor data processing.

Hybrid Indoor/Outdoor Localization for Mobile Robots (ROS 2) Dual EKF architecture (GPS+IMU, GPS+Odometry) with a neural-network pseudo-sensor replacing GPS indoors, a fuzzy logic system weighting ANN vs. KF outputs, and a behavior tree handling indoor/outdoor mode switching. Validated across 6 Gazebo test runs on TurtleBot3: 100% waypoint completion in every run, stuck events eliminated post-fix, end-to-end runtime down 7.6%, EKF covariance peak improved 2.22x.

• Autonomous Mobile Robot Navigation (ROS1 and ROS2): LIDAR and camera-based robot, 95% navigation accuracy using Dijkstra's and SLAM, 25% collision reduction via obstacle avoidance, tested in Gazebo.
• Colour Classifier Integration with ROS: real-time colour classifier using ROS and OpenCV, 95% accuracy, improved robot perception by 30%.
• Civil Protection Robot (graduation project): emergency response robot with a 6-DOF arm and high-res camera, reduced emergency response time by 15% via mobile app integration and manual control.
• Agent-Based Control Dynamics: reproduced and extended agent-based model logic in MATLAB, resolved published metric inconsistencies, and formulated a decentralized error-correction strategy for GPS-denied anomaly detection.