Sulman Shafique
Ilmenau
Summary
Geared to delve into real world engineering problems with analytical approach, a motto which has always been at the forefront of my endeavors be it academics or industry. Solid engineering knowledge base in the field of programming and development. I am eager to excel in the field of Image Processing, Machine Learning, Computer Vision, Robotics and AI.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Computer Vision (Student Assistant)
Fraunhofer IWS
Dresdem
04.2023 - Current
- Scripting and implementation of an algorithm for image processing on low-contrast X-ray images, aimed at extracting desired data through various image segmentation techniques. Furthermore, data visualization and filtration was performed on the extracted data to optimize the research outcomes.
Image Processing
Autobar
Islamabad
08.2018 - 02.2019
- Warehouse management to analyze item volume, weight, and identification (like barcodes) from images, facilitating rapid database recording. Different image processing techniques were applied on image data acquired from specialized cameras or imaging systems and integrated them into the production line to increase efficiency and accuracy.
Education
Bachelor of Science - Electrical Engineering
Comsats Abbottabad
Abbottabad01-2017
Master of Science - Media Technology
TU Ilmenau
IlmenauSkills
- Python (OpenCV l Numpy l Scipy l Pandas l Skimage l Matplotlib l Tensorflow)
- ML l C# l MATLAB l Linux l Unity3D l Data Analysis l Github l Microsoft Office l Raspberry Pi
- Personal Skills (Strong Decision Making l Business Communication l Complex Problem Solving)
Certification
- Introduction to Git and GitHub l Coursera
- Introduction to Machine Learning in Production l Coursera
- Advanced Computer Vision Tensor flow l Coursera
Other
- Driving License Class B (Klasse B)
Projects (TU Ilmenau)
Audio Watermarking
- Audio watermarking generated through Generative AI using IntMDCT. Project involved use of psychoacoustic perceptual model to identify insignificant and insignificant bits from integral perceptual representation of audio signal then embedding watermark on insignificant bits.
Image Similarity Hashes
- Auto-deleting repetitive images from data bank using Hamming Distance. From data bank of 5000 images, ML model was trained to delete repetitive images including cropped, resized, rotated etc images.
Death Square
- The game featured in the Korean TV show Squid Game was developed using Unity3D, encompassing arena design, C# scripting, human character animations, and execution.
Timeline
Computer Vision (Student Assistant)
Fraunhofer IWS
04.2023 - Current
Image Processing
Autobar
08.2018 - 02.2019
Bachelor of Science - Electrical Engineering
Comsats Abbottabad
Master of Science - Media Technology
TU Ilmenau
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