About

Pablo Fernandez del Campo is an accomplished ML Software Engineer at Meta with a strong background in research and development. With almost 5 years of relevant experience, he has worked with some of the biggest names in the industry, including Amazon, where he served as an Applied Scientist in Robotics AI and Prime Air. Pablo completed his Ph.D. in Computational Science and Engineering with a minor in Mathematics from the Massachusetts Institute of Technology (MIT) in 2018. Prior to that, he earned his M.S. in Aeronautics and Astronautics from MIT in 2016, where he honed his skills in software engineering and data analysis. He also holds a Bachelor's and Master's degree in Mechanical Engineering from the Universidad de Valladolid, where he received the Best Academic Record Award. As an ML Software Engineer at Meta, Pablo is responsible for developing and implementing machine learning algorithms and models to improve the company's products and services. He is well-versed in various programming languages and tools, including Python, TensorFlow, and PyTorch. He is also experienced in conducting research and analyzing data to identify patterns and insights that can be used to optimize business operations and enhance customer experiences. Pablo is a highly motivated and results-driven professional who is passionate about using technology to solve complex problems. He is a team player who enjoys collaborating with colleagues and sharing his expertise to help others succeed. He is always looking for new challenges and opportunities to learn and grow in his field.