Blake Wills
About Blake Wills
Blake Wills is a Senior Software Engineer with a strong background in computer science and data analytics. He has worked for various companies, including Yieldstreet and Capital One, and possesses expertise in cloud technologies and machine learning.
Work at Yieldstreet
Blake Wills currently serves as a Senior Software Engineer at Yieldstreet, a position he has held since 2022. In this role, he develops scalable and secure web applications focused on alternative investments in real estate and other asset classes. His work contributes to the company's mission of providing accessible investment opportunities.
Education and Expertise
Blake Wills is pursuing a Master of Science in Computer Science at Georgia Institute of Technology, expected to complete in 2024. He also studies Data Science at the University of California, Berkeley, through the Post-Bac Data Analytics Program. His educational background includes a Bachelor's degree in Human Biology from the University of Southern California and coursework in Computer Science at the University of Maryland.
Background
Blake Wills has a diverse professional background in software engineering and teaching. He has worked at various organizations, including Capital One, Trym Inc., and MyHealthTeams. His teaching experience includes roles as a Teaching Assistant at both Georgia Institute of Technology and UC Berkeley Extension. He has also held positions as a Database Administrator and Software Engineer in the San Francisco Bay Area.
Achievements
Blake Wills possesses an AWS Solutions Architect certification, demonstrating his expertise in cloud technologies. He has extensive experience with Amazon Web Services and has developed skills in machine learning using tools such as PyTorch, TensorFlow, and GPT-4. His leadership experience includes guiding software projects to completion, showcasing his ability to manage teams effectively.
Technical Skills
Blake Wills has a strong technical skill set that includes developing web applications and utilizing artificial intelligence to address complex problems in finance, healthcare, and technology startups. His growing expertise in machine learning and familiarity with various tools and libraries position him as a knowledgeable professional in the software engineering field.