Krifa Chouaieb

AI/ML Professional with Cross Domain Expertise
Proficient in designing, training, and deploying machine learning and deep learning models across diverse applications. Experience spans supervised/unsupervised learning, computer vision, natural language processing NLP, and reinforcement learning. Skilled in frameworks like TensorFlow, PyTorch, and scikit learn, with a focus on scalable solutions for classification, regression, clustering, and sequence modeling.

Key strengths:

Model Diversity : Built and optimized models ranging from classical algorithms e.g., Random Forests, SVMs to cutting edge architectures CNNs, Transformers, GANs.
Problem Solving : Translated complex business challenges into data driven solutions, achieving 20–40% performance improvements in accuracy/speed.
Collaboration : Worked cross functionally with engineers, stakeholders, and domain experts to align ML systems with organizational goals.
Ethics & Scalability : Prioritized model interpretability, bias mit