Aicodex

Machine Learning Engineer

Self Level • Freiberufler

Jan 2025 - Present • 1 yr 5 mos

Worked on multiple projects involving machine learning, deep learning, and data analysis, focusing on real-world problem solving and high-performance model development. Designed and developed AI solutions including brain tumor detection using medical imaging, applying Convolutional Neural Networks (CNNs), feature engineering, and ensemble learning techniques. Built complete ML pipelines from data preprocessing (cleaning, normalization, augmentation) to model training, evaluation, and visualization. Gained hands-on experience with tools and libraries such as Python, Pandas, NumPy, Scikit-learn, and deep learning frameworks. Implemented advanced techniques like hyperparameter tuning, model stacking, and performance optimization to improve accuracy and reliability. Delivered visually interpretable results using feature maps and data visualization methods, helping in better understanding of model predictions. Focused on writing clean, efficient code and building scalable solutions suitable for real-world applications.