Kevin Brill
About Kevin Brill
Kevin Brill is a Machine Learning Operations Engineer currently working at CoverMyMeds since 2022. He has a background in machine learning and data engineering, with previous roles at Chevron, Visa, and Applied Materials.
Work at CoverMyMeds
Kevin Brill has been employed at CoverMyMeds as a Machine Learning Operations Engineer since 2022. In this role, he has focused on implementing data security frameworks to ensure that cloud solutions comply with HIPAA and HITECH regulations. He has also transitioned existing on-premises machine learning products to Azure, enhancing the company's cloud capabilities. Additionally, he creates data pipelines from Azure Delta Lake to Databricks workspaces, facilitating model training and inferencing. Kevin utilizes MLFlow to log model training, automate model versioning, and serve models as REST APIs.
Previous Experience
Before joining CoverMyMeds, Kevin Brill worked at Chevron as a Machine Learning Engineer from 2020 to 2022. His responsibilities included developing machine learning solutions in a corporate environment. Prior to that, he held several internships, including a Control Systems Intern position at Applied Materials in 2017, a Teaching Intern role at UTeach Outreach in 2016, and a Software Engineering Intern position at Visa in 2018. He also gained experience as an Engineering Apprentice at Applied Research Laboratories, The University of Texas at Austin in 2015.
Education and Expertise
Kevin Brill holds a Master of Science in Business Analytics from the Texas McCombs School of Business, which he completed from 2019 to 2020. He also earned a Bachelor of Science in Electrical and Computer Engineering from The University of Texas at Austin, where he studied from 2015 to 2019. His educational background provides him with a strong foundation in both technical and analytical skills, which he applies in his current role in machine learning operations.
Technical Skills
Kevin Brill possesses expertise in machine learning operations, data security frameworks, and cloud computing. He is proficient in creating data pipelines and utilizing tools such as Azure Delta Lake, Databricks, and MLFlow. His experience includes automating model versioning and serving machine learning models as REST APIs. These skills enable him to effectively manage and deploy machine learning solutions in a compliant and efficient manner.