Profilbild von MuhammadWaleed Khan AI and Machine Learning Engineer aus Ilmenau

Muhammad Waleed Khan

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Letztes Update: 10.02.2025

AI and Machine Learning Engineer

Abschluss: Master's in Research in Media Engineering
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: Deutsch (gut) | Englisch (verhandlungssicher)

Schlagwörter

Künstliche Intelligenz Machine Learning 3D Modellierung Data Analysis Signalverarbeitung Javascript Systems Engineering Computer Vision Test Automation Bug-Tracking + 21 weitere Schlagwörter anzeigen

Dateianlagen

Muhammad-Waleed-Khan-resume_100225.pdf

Skills

Computer Vision & AI
Expertise in object detection using YOLOX, YOLOv11, Faster R-CNN, and Mask R-CNN. Proficient in image segmentation techniques.

Programming Languages ​​& AI Frameworks
Skilled in Python, C++, JavaScript, TensorFlow, PyTorch, and OpenCV for AI and machine learning development.

3D Modeling & Data Processing
Proficient in Blender for 3D modeling and rendering. Experience with data cleaning, normalization, feature engineering, and synthetic data generation.

Signal Processing
Expertise in multirate signal processing, digital filters, and time-frequency analysis.

Software Engineering
Knowledge of software architecture, system engineering, and AI-driven media systems.

Data Analysis Tools
Proficiency in MATLAB, Git, Scikit-learn, NumPy, and Pandas for data analysis and machine learning tasks.

Quality Assurance
Experience in designing and executing test cases, bug tracking, and maintaining automated test scripts.
 

Projekthistorie

07/2024 - bis jetzt
Working Student - AI and Signal Processing
Sielaff

Developed and optimized YOLOX, YOLOv11, and Faster R-CNN models for improved object detection accuracy. Created and trained synthetic datasets using 3D modeling in Blender. Automated preprocessing, annotation, and data augmentation pipelines using Python, OpenCV, and NumPy.

07/2022 - 12/2023
Quality Assurance Engineer
SMK Technologies (SMC) Pvt. Ltd

Designed and executed test cases based on project requirements. Identified, documented, and tracked defects using bug tracking tools. Performed manual testing including functional and regression tests. Assisted in developing and maintaining automated test scripts. Collaborated with development teams to ensure product quality and resolve issues.

04/2023 - 10/2023
Raspberry Pi Project
TU Ilmenau

Developed a color, shape, and distance detection system using a Raspberry Pi, applying skills in computer vision and sensor integration. Utilized Python and OpenCV for image processing to detect specific colors and shapes in real-time. Gained hands-on experience with Git, Python, and Linux, supporting interdisciplinary skills across mechanics, electrical engineering, and media technology.

Reisebereitschaft

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Profilbild von MuhammadWaleed Khan AI and Machine Learning Engineer aus Ilmenau AI and Machine Learning Engineer
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