francis macharia

Designed and implemented training pipelines for 15+ machine learning models, reducing training time by 40% through optimization techniques. Developed custom neural networks using PyTorch and TensorFlow for computer vision and NLP tasks, achieving 95%+ accuracy on production datasets.

Assisted in developing machine learning models for predictive analytics and recommendation systems. Performed exploratory data analysis on large datasets to identify patterns and feature importance.

Built and trained deep learning models for image classification and natural language processing applications. Preprocessed and augmented datasets containing 1M+ samples, improving model robustness and generalization.

Focused on Artificial Intelligence and Machine Learning, covering core concepts such as machine learning, deep learning, data structures, and algorithms. Gained a strong foundation in statistical analysis and linear algebra, essential for advanced AI applications.