Robotics Software Engineer | Autonomous Mobile Robots (AMR/AGV) | ROS 2 & SLAM

I am a senior Computer Engineering student specializing in autonomous navigation, SLAM, and fleet management for industrial robotics.

I focus heavily on bridging the gap between low-level hardware kinematics (especially non-standard drive types) and high-level autonomous behaviors using ROS 2.

I am currently working long-term at Modoya, focusing on the autonomy of forklift-type AMRs and retrofitting manual electric forklifts into fully autonomous vehicles.

• Natural SLAM & Sensor Fusion: Developing robust mapping, localization, and navigation pipelines by fusing raw 2D LiDAR data, IMU, and wheel odometry.
• Scan Matching & Odometry: Testing, evaluating, and implementing advanced laser odometry packages for industrial environments (KISS-ICP, Kinematic-ICP, RF2O, laser_scan_matcher).
• Advanced Kinematics: Developing custom ROS 2 controllers for tricycle drive structures, specifically handling the unique steering and translation kinematics of forklift AMRs.
• Simulation & Optimization: Conducting rigorous offline tests via rosbags, managing complex TF trees (odom -> base_link -> map), and validating Nav2 performance in custom simulated environments before real-world deployment.

• TEKNOFEST AGV Development (Team Captain): Built an AGV from scratch on Ubuntu 22.04 with ROS 2 Humble (Raspberry Pi 4). Successfully implemented an odom-less mapping pipeline using Cartographer, configured Nav2 for autonomous navigation, and developed a .NET web-based GUI for control. Reached the finals for two consecutive years.
• Multi-AMR Task Management System: Developed a centralized fleet management simulation in CoppeliaSim using Python/C++. Implemented A* path planning, 2D LiDAR grid mapping, and a Greedy algorithm for dynamic task assignment. Built a custom PyQt5 GUI for fleet monitoring.
• Fleet Management & Protocols: Contributed to swarm robotics research, focusing on multi-robot communication protocols and industrial standards like VDA5050 and Open-RMF.
• Industrial AMR Deployment: Gained hands-on experience in field deployment, localization mapping, and fleet software integration. Engineered an autonomous door-passing module by integrating an ESP-based relay with the fleet management system via Modbus-TCP.

• Robotics Frameworks: ROS 2 (Humble), Nav2, Cartographer, Open-RMF, VDA5050
• Odometry & SLAM: KISS-ICP, Kinematic-ICP, RF2O, Sensor Fusion (EKF/UKF)
• Languages: C++, Python, .NET (for UI development)
• Simulation & Tools: CoppeliaSim, Gazebo, Git, Linux (Ubuntu), Bash Scripting
• Hardware: Raspberry Pi, ESP/Microcontrollers, 2D LiDAR (YDLidar), IMU, Modbus-TCP

• LinkedIn: [www.linkedin.com/in/my54340021]