Available to hire
I am specialized in processing 3D point clouds and LiDAR-based object recognition with a strong focus on autonomous vehicle systems. I have extensive experience in data augmentation, annotation, and analyzing environmental influences on LiDAR perception. I am passionate about sensor data fusion, LiDAR perception, and deep learning for ADAS as well as other intelligent sensor applications beyond automotive.
I continuously develop my skills in structured, goal-oriented, and independent working methods, adapting flexibly and creatively to new challenges. I enjoy deep analysis and problem-solving, project prioritization, and technical communication. I am motivated by innovation, curiosity, and lifelong learning to advance my competencies and deliver quality results.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
Bengali
Fluent
English
Advanced
German
Advanced
Work Experience
Student / Researcher at IFM – Institut für Fahrerassistenz und vernetzte Mobilität, Benningen
September 30, 2024 - August 26, 2025Project on Metrics to Evaluate LiDAR Data at Different Processing Levels, including point cloud registration and 3D object detection. Evaluating key indicators such as RMSE, MAE, and residual errors for spatial misalignment quantification following transformations. Highlighted sensitivity against outliers. Worked with LiDAR sensor data, noise analysis, data annotation, and quantitative evaluation of 3D detection performances under varying weather and noise conditions. Developed and implemented algorithms for data transformation, bounding-box filtering, and noise augmentation in Python and Docker environments.
Master Thesis Student / Researcher at IFM – Institut für Fahrerassistenz und vernetzte Mobilität, Benningen
April 30, 2025 - August 26, 2025Conducted a master's thesis focused on the quantitative analysis of noise and rain effects on LiDAR-based 3D object detection using deep learning (PV-RCNN and SECOND algorithms). Developed data augmentation techniques with Gaussian noise, transformation of LiDAR data between cartesian and spherical coordinates for augmentation purposes, and labeled rain data sets. Created a comprehensive label transformation framework including position, scaling, and rotation matrices for bounding box shifts among different LiDAR sensors. Implemented bounding box filtering algorithms based on point density thresholds to improve dataset quality before training. Trained and evaluated 3D object detection models using Docker environments and OpenPCDet, with performance assessment under varying weather and noise conditions using metrics such as mean IoU. Evaluated registration metrics for LiDAR point clouds including RMSE, MAE, and residual errors to quantify spatial mismatches post-transformation and empha
Project Manager at Studio Shodwe
September 30, 2024 - August 26, 2025Managed projects focusing on teamwork, collaboration, critical thinking, problem analysis and solving, project prioritization, deadline alignment, and technical communication. Advocated structured, goal-oriented, and independent work methods with adaptability, flexibility, self-motivation, creativity, innovation, and continuous learning for competence development. Facilitated technical and coordination tasks to ensure efficient project delivery and quality assurance.
Student / Researcher at IfM – Institut für Fahrerassistenz und vernetzte Mobilität, Benningen
September 30, 2024 - August 26, 2025Studied and evaluated metrics to assess LiDAR data at different processing levels including point cloud registration and 3D object detection. Evaluated key registration metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and residual error to quantify spatial mismatches after transformation, and highlighted their sensitivity to outliers. Conducted quantitative analysis of noise and rain effects on LiDAR-based 3D object detection using deep learning methods (PV-RCNN and SECOND algorithms). Implemented noise modeling in cartesian and spherical coordinate spaces and developed label transformation frameworks for bounding box corrections across multiple LiDAR sensors. Developed bounding-box filtering algorithms to improve data quality prior to training. Trained and evaluated 3D object detection models in Docker environments using OpenPCDet framework under various weather and noise conditions.
Education
Master's Degree in Electrical Engineering at Hochschule Kempten, Kempten (Allgäu), Germany
January 1, 2021 - December 31, 2025Bachelor's Degree in Electrical Engineering & Electronics at Leading University, Sylhet, Bangladesh
January 1, 2015 - December 31, 2019Master's degree in Electrical Engineering at Hochschule Kempten, Kempten (Allgäu), Germany
January 1, 2021 - December 31, 2025Bachelor's degree in Electrical Engineering & Electronics at Leading University, Sylhet, Bangladesh
January 1, 2015 - December 31, 2019Master's degree in Electrical Engineering at Hochschule Kempten, Kempten (Allgäu), Germany
January 1, 2021 - December 31, 2025Bachelor's degree in Electrical Engineering & Electronics at Leading University, Sylhet, Bangladesh
January 1, 2015 - December 31, 2019Qualifications
Udemy - Advanced Driver Assistance Systems (ADAS)
January 11, 2030 - August 26, 2025Udemy - Deep Learning for Object Detection with Python & PyTorch
January 11, 2030 - August 26, 2025Udemy - CMOS Digital Integrated Circuit Design
January 11, 2030 - August 26, 2025Udemy - PCB Design with KiCAD 6.0
January 11, 2030 - August 26, 2025Udemy - PCB Design with Altium Designer
January 11, 2030 - August 26, 2025Udemy - Advanced Driver Assistance Systems (ADAS)
January 11, 2030 - August 26, 2025Udemy - Deep Learning for Object Detection with Python & PyTorch
January 11, 2030 - August 26, 2025Udemy - Data annotation & Real-time object detection in video with YOLOv8
January 11, 2030 - August 26, 2025Udemy - CMOS Digital Integrated Circuit Design NMOS-, CMOS-Circuit Design
January 11, 2030 - August 26, 2025Udemy - PCB Design with KiCAD 5, schematic design, multi-layer boards
January 11, 2030 - August 26, 2025Udemy - PCB Design with Altium Designer, multi-layer design, microcontroller design
January 11, 2030 - August 26, 2025Udemy - Advanced Driver Assistance Systems (ADAS)
January 11, 2030 - August 26, 2025Udemy - Deep Learning for Object Detection with Python & PyTorch
January 11, 2030 - August 26, 2025Udemy - Data Annotation | Real-time Object Detection in Videos with YOLO v8
January 11, 2030 - August 26, 2025Udemy - CMOS Digital Integrated Circuit Design NMOS-, CMOS-Circuit Design | Digital Circuit Design
January 11, 2030 - August 26, 2025Udemy - PCB Design with KiCAD Schematic Drafting | Layout Design | 2-layer and 4-layer PCBs
January 11, 2030 - August 26, 2025Udemy - PCB Design with Altium Designer Multi-layer Design | Microcontroller Design | Multi-layer layout
January 11, 2030 - August 26, 2025Industry Experience
Computers & Electronics, Transportation & Logistics, Manufacturing, Professional Services, Software & Internet
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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