Data Scientist | Machine Learning Engineer
📍 Currently in Berlin, Germany
I am a passionate Machine Learning Engineer and Data Scientist with over 2 years of experience. My expertise spans predictive modeling, Computer Vision, Generative AI, and Natural Language Processing. I specialize in solving complex challenges using state-of-the-art technologies like Deep Learning, Transformers, and Contrastive Learning.
🔍 I thrive in managing end-to-end machine learning projects, including data collection, model deployment, and performance monitoring.
- Python (5 years) | R | C++
- Computer Vision: YoloV5-V8, Faster R-CNN, SAM (Segment Anything Models), Siamese Networks
- Generative AI: GANs, WGAN, CycleGAN, Stable Diffusion, Kadinsky
- NLP: BERT, HF Transformers, spaCy, NLTK
- Frameworks: PyTorch, TensorFlow, Scikit-Learn
- Git, Docker, Azure ML, Linux
- Pandas, NumPy, PowerBI, Matplotlib
- Evaluated and implemented Generative AI models (Stable Diffusion, ControlNet) for synthetic data generation in industrial applications.
- Developed solutions using state-of-the-art Computer Vision tools for image segmentation and similarity detection.
- Tools & Technologies: PyTorch, TensorFlow, FastSAM, MobileSAM.
- Developed a system for analyzing vibratory patterns in honey bees using Computer Vision and statistical methods.
- Tools & Technologies: Python, Deep Learning, OpenCV.
- Built a system to predict optimal travel routes using historical and real-time traffic data.
- Technologies Used: Google Directions API, TensorFlow, Random Forests.
-
M.Sc. in Data Science
Freie Universität Berlin (FU), Germany- Focus: Generative AI, Computer Vision, Deep Learning, Digital Economy.
-
B.Sc. in Computer & Information Science
PMAS-UAAR, Pakistan- Focus: Software Engineering, Artificial Intelligence.
- Email: mkaleemcs@gmail.com
- GitHub: github.com/Muhammad-Kaleem-Ullah
- LinkedIn: linkedin.com/in/muhammad-kaleem-ullah
-
Würth Group, Berlin, Germany (2023 - Present)
- Developed advanced Computer Vision solutions using models like YoloV8, FastSAM, and Contrastive Learning.
- Created and deployed tools for image segmentation, classification, and localization.
-
Unzer GmbH, Berlin, Germany (2022)
- Built transaction risk classification models using Gradient Boosting Machines and Neural Networks.
- PIEAS, Islamabad, Pakistan (2020)
- Developed trip-planning systems based on traffic prediction using Google APIs.
When I'm not working with AI models, I enjoy exploring new technologies, contributing to open-source projects, and engaging in research at the intersection of Generative AI and Computer Vision.
💡 Let's connect and build innovative solutions together!