Hello, I'm Abdul Rahman Farhan, a Mechatronic Engineer focused on computer vision, sensor fusion and real-time perception for autonomous systems. I have hands-on experience developing monocular depth estimation, LiDAR/radar/camera data fusion, and end-to-end perception pipelines, using ROS, OpenCV, PyTorch, and C++/Python to build robust robotic solutions. Currently, I am pursuing a Master’s degree in Mechatronic Engineering at Ravensburg-Weingarten University of Applied Sciences and conducting a Master Thesis with Sony Europe on multimodal detections and network training. I enjoy cross-sensor calibration, 3D geometry, and collaboration across disciplines to advance autonomous perception in real-world scenarios.

Abdul Rahman Mohammed Rahman Farhan

Hello, I'm Abdul Rahman Farhan, a Mechatronic Engineer focused on computer vision, sensor fusion and real-time perception for autonomous systems. I have hands-on experience developing monocular depth estimation, LiDAR/radar/camera data fusion, and end-to-end perception pipelines, using ROS, OpenCV, PyTorch, and C++/Python to build robust robotic solutions. Currently, I am pursuing a Master’s degree in Mechatronic Engineering at Ravensburg-Weingarten University of Applied Sciences and conducting a Master Thesis with Sony Europe on multimodal detections and network training. I enjoy cross-sensor calibration, 3D geometry, and collaboration across disciplines to advance autonomous perception in real-world scenarios.

Available to hire

Hello, I’m Abdul Rahman Farhan, a Mechatronic Engineer focused on computer vision, sensor fusion and real-time perception for autonomous systems. I have hands-on experience developing monocular depth estimation, LiDAR/radar/camera data fusion, and end-to-end perception pipelines, using ROS, OpenCV, PyTorch, and C++/Python to build robust robotic solutions.

Currently, I am pursuing a Master’s degree in Mechatronic Engineering at Ravensburg-Weingarten University of Applied Sciences and conducting a Master Thesis with Sony Europe on multimodal detections and network training. I enjoy cross-sensor calibration, 3D geometry, and collaboration across disciplines to advance autonomous perception in real-world scenarios.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Advanced
German
Beginner

Work Experience

Systems Engineer at Infosys Ltd
August 1, 2021 - September 30, 2023
Supported integration and synchronization of multimodal sensor data. Assisted in validation of perception outputs through analysis of sensor signals and projections.
Master Thesis Researcher at Sony Europe Limited
September 1, 2024 - February 28, 2025
Developed monocular depth and 3D spatial estimation from 2D camera images using projection geometry. Designed spatial-temporal alignment of camera, LiDAR, and radar data for consistent tracking across frames. Implemented real-time tracking and association algorithms for motion estimation tasks. Worked extensively with camera calibration, coordinate transformations, and epipolar/projective geometry. Built Python/PyTorch pipelines optimized for real-time perception.
Perception Systems Intern at Sony Europe B.V.
March 1, 2025 - September 30, 2025
Implemented object tracking pipelines from camera streams using OpenCV and ByteTrack. Worked with large multimodal datasets requiring precise spatial alignment and synchronization. Evaluated monocular depth estimation approaches for camera-based 3D reasoning.
Perception Systems Intern at Sony Europe B.V.
September 1, 2024 - February 28, 2025
Implemented object tracking pipelines from camera streams using OpenCV and ByteTrack; worked with large multimodal datasets requiring precise spatial alignment and synchronization; evaluated monocular depth estimation approaches for camera-based 3D reasoning.
Master Thesis Researcher at Sony Europe Limited
March 1, 2025 - September 30, 2025
Master thesis on multimodal detections for contour estimation and machine learning network training; developed monocular depth estimation and 3D spatial alignment from 2D camera images, designed spatio-temporal alignment of camera, LiDAR and radar data for consistent tracking across frames.

Education

Master of Science in Mechatronic Engineering at Ravensburg-Weingarten University of Applied Sciences
October 1, 2023 - September 30, 2025
Bachelor of Engineering in Mechanical Engineering at Osmania University
January 11, 2030 - February 1, 2026
Master's Degree in Mechatronic Engineering at Ravensburg-Weingarten University of Applied Sciences
October 1, 2023 - September 30, 2025
Bachelor of Engineering in Mechanical Engineering at Osmania University
January 1, 2017 - December 31, 2021

Qualifications

Master's Degree in Mechatronic Engineering
October 1, 2023 - September 30, 2025
Bachelor of Engineering in Mechanical Engineering
January 1, 2017 - December 31, 2021
Master Thesis: Multimodal Detections for Contour Estimation and ML Network Training
March 1, 2025 - September 30, 2025

Industry Experience

Media & Entertainment, Software & Internet, Professional Services, Computers & Electronics, Manufacturing, Education