About

Virgile Landeiro is a highly skilled Machine Learning Engineer currently working at Amazon. With over 4 years of relevant experience in the field, he has established himself as an expert in the areas of ML, Data Science, and Research Science. Before joining Amazon, Virgile worked as a Data Scientist at Tempus Labs, Inc. and Uptake, where he gained invaluable experience in developing and implementing ML models and algorithms to solve complex business problems. Virgile holds a Doctor of Philosophy (PhD) degree in Computer Science from the Illinois Institute of Technology, where he specialized in the field of ML. He also holds two Master's degrees, one in Computer Science from the Illinois Institute of Technology and the other in Computer Science from Enseirb-Matmeca. Throughout his academic and professional career, Virgile has developed a strong technical skillset and is well-versed in a variety of programming languages and tools. He is proficient in Python, R, and Java, and has experience working with frameworks such as TensorFlow, Keras, and PyTorch. Virgile is a highly motivated and results-driven individual who is passionate about using ML to drive business growth and innovation. He is adept at collaborating with cross-functional teams and is skilled at communicating complex technical concepts to both technical and non-technical stakeholders. Overall, Virgile is a talented and experienced Machine Learning Engineer with a proven track record of delivering high-quality solutions in a fast-paced and dynamic environment.