Clay Roberts
About Clay Roberts
Clay Roberts is a Software Engineer at Digital.ai, specializing in both frontend and backend technologies, including React and Django. He has a diverse background in management and education, having previously worked at PetSmart and Lambda School, and is currently studying Computer Science and Data Science.
Work at Digital.ai
Clay Roberts has been employed as a Software Engineer at Digital.ai since 2020. In this role, he utilizes his expertise in both frontend and backend technologies, including React and Django, to contribute to software development projects. His experience at Digital.ai spans four years, during which he has engaged in collaborative software development using version control systems like Git.
Education and Expertise
Clay Roberts is currently studying Computer Science at Kennesaw State University, a pursuit he began in 2018. Additionally, he has been studying Data Science at BloomTech since 2019. His expertise encompasses multiple programming languages, including Python, C#, and JavaScript. He also employs advanced data visualization tools such as Matplotlib, Seaborn, and Plotly, and utilizes machine learning frameworks like TensorFlow and PyTorch for developing neural networks.
Background
Before his current role at Digital.ai, Clay Roberts worked at PetSmart as a Department Manager from 2016 to 2020. He also held the position of Team Lead at Lambda School from 2020, where he had previously been a Data Science Student from 2019 to 2020. His earlier experience includes working as a Bar Manager at Shoney's Restaurants & Franchising from 2015 to 2016 and as a Salon Manager at PetSmart from 2010 to 2015.
Professional Skills
Clay Roberts possesses a diverse skill set that includes both frontend and backend development. He is proficient in using version control systems like Git, which is essential for collaborative software development. His programming capabilities extend across several languages, including Python, C#, and JavaScript. Additionally, he has experience with advanced data visualization and machine learning frameworks, which enhance his ability to analyze and interpret data effectively.