Ali P

@ali_pahlevani_

Robotics Software Engineer

Turchia
Persiano, Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Robotics Software Engineer specializing in SLAM, autonomous navigation, and motion planning. Experienced in ROS2, C++, and Python for mobile robot development, sensor fusion, and navigation framework integration. Proven track record in designing and deploying robotics systems for research, startups, and industrial applications, including simulation and real-world implementation.... Continua a leggere

Competenze

a
ali_pahlevani_
Ali P
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Sistemi integrati e IoT
I will create complete ros2 robotics solutions for autonomous robots
A partire da50 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Robotics Software Engineer

SIMOBOTICS • Part time

Dec 2024 - Present • 1 yr 5 mos

• Develop and maintain full ROS2-based software stack for autonomous forklifts. • Implement high-fidelity Gazebo simulations (kinematics, dynamics, inertia modeling). • Deploy SLAM (SLAM Toolbox, RTAB-Map) and Nav2 in simulation and real environments. • Integrate 2D LiDAR and RGB-D cameras for perception and localization. • Configure ROS2 CANopen for traction, steering, and fork motor control on Raspberry Pi. • Design and deploy web-based interface for teleoperation, navigation, and system control.

SLAM Engineer

Human Robot GmbH • Part time

May 2025 - Oct 2025 • 5 mos

• Researched and evaluated LIO-based SLAM for solid-state wide-FOV 3D LiDAR systems. • Performed LiDAR–IMU spatio-temporal calibration. • Modified Fast-LIO2 (ROS2) for RoboSense LiDAR compatibility. • Implemented loop closure (SC-PGO) and pose graph optimization pipeline. • Generated and post-processed 3D maps (voxelization, filtering, point cloud merging).

SLAM Engineer

Software Motion (Suzhou) Engineering Services Co.,Ltd • Full time

Dec 2024 - Apr 2025 • 4 mos

• Conducted R&D on state-of-the-art LiDAR–IMU SLAM systems. • Improved odometry accuracy and computational efficiency (Fast-LIO2). • Integrated solid-state and rotating 3D LiDAR with IMU for sensor fusion. • Optimized SLAM pipelines for real-world ADAS applications.