I'm a passionate developer with a strong interest in building data-driven solutions, particularly fascinated by the possibilities of space exploration and how Machine Learning can be applied to this field. In my free time, I enjoy learning about AI and keeping up with the latest advancements in technology.
- Developed a machine learning model that processes satellite imagery, employing GANs for data augmentation to achieve a remarkable 90% reduction in model size and 96% decrease in dataset requirements. This optimization enables deployment in resource-constrained environments like spacecraft.
- Engineered a highly accurate (96%) cloud detection model utilizing a mere 10MB of data. Leveraged cloud IFass for enhanced performance.
- Created interactive dashboards that boosted user engagement with data visualizations by 45%.
- Successfully simulated a space mission using STK, optimizing communication channel switching by 26% through machine learning analysis.
- 🖥️ Backend Development: Adept at building scalable and secure backend systems using technologies like Node.js, Express, and MongoDB.
- 📊 Data Science & Machine Learning: Experienced in building and deploying ML models in Python libraries like TensorFlow and PyTorch (IBM Data Science Professional Certified).
- 🚀 Space Mission and Systems Modelling: Skilled in using Ansys STK to simulate complex space missions and leverage ML for deeper insights.
- UK Space Conference 2023 (Satellite Edge Computing for Real-Time Satellite Imagery Segmentation )
- SatNex School V (Artificial Intelligence (AI) for Satellite Systems)
- Website: https://www.ayhameed.space/
- LinkedIn: https://uk.linkedin.com/in/abdulhameed-yunusa
- Email: hameedyunusa@outlook.com
