Laurine D.

I am a seasoned Deep Learning and Machine Learning Engineer with a demonstrated history of working on cutting-edge AI projects across various industries. Holding a degree from Dauphine University in Paris, my solid academic foundation complements my hands-on experience in the world of AI. My training at this prestigious institution, combined with my practical skills, enables me to design, implement, and deploy ML/DL models tailored to meet specific business needs. Key Competencies: Model Development: Proficient in building and fine-tuning models using TensorFlow, PyTorch, Keras, and Scikit-Learn. Familiarity with a wide range of architectures including CNNs, RNNs, LSTMs, and Transformer-based models. Data Handling: Experience in handling large datasets, data augmentation, preprocessing, and feature extraction to ensure optimal model performance. Model Deployment: Expertise in deploying machine learning solutions in production environments using tools like Docker, TensorFlow Serving, and cloud platforms such as AWS, Azure, and GCP. Optimization: Knowledge of various optimization techniques to improve model efficiency, speed, and accuracy. Collaboration: Worked closely with data engineers, software developers, and business stakeholders to integrate ML models into products, services, and business processes. Continuous Learning: Avid follower of AI research, regularly updating skills to ensure application of the latest methodologies and best practices in projects. Problem Solving: Strong analytical and critical thinking skills to devise solutions for complex business problems using ML/DL. Achievements: Implemented a computer vision system that improved product quality inspection efficiency by 70%. Developed a recommendation engine for an e-commerce client which increased their sales conversion by 25%. Led a team to design and deploy a real-time fraud detection system that reduced fraudulent transactions by 80%. Languages & Tools: Python, R, SQL, TensorFlow, PyTorch, Keras, OpenCV, Numpy, Pandas, Matplotlib, Jupyter, CUDA, Docker, Kubernetes, Git, Jenkins. Education: Degree in [specific field, e.g., "Computer Science" or "Data Science"] from Dauphine University, Paris. Certifications: Neural Networks and Deep Learning by [login to view URL], Machine Learning by Stanford University. Whether you are looking to develop a proof-of-concept, scale your existing models, or integrate AI solutions into your products/services, I am confident in delivering optimal results. Let's discuss how we can leverage the power of AI for your needs!