About

Melvina Mathews is an Artificial Intelligence Consultant at Boeing with a focus on software development and applied mathematics. With over 3 years of experience in Kubernetes automation, Tensorflow machine learning, Java API development in the Spring framework, and Kubernetes/Docker container management, Melvina is a skilled professional in the field of AI. Melvina holds a Bachelor of Science in Applied Mathematics from Georgia Tech, with a diverse background in emergency medicine and philosophy. She has developed quick problem-solving skills, concise client communication, and overall teamwork skills from her previous experiences. Melvina's proficiency in Python, Kubernetes automation, Java, Spring framework APIs, Tensorflow machine learning, Elasticsearch, Prometheus, Alert Manager, and her degree focuses on Real Analysis, Abstract Algebra, Probability/Statistics, and Partial Differential Equations, make her an asset to any team. She has a minor focus on Python, Java, and object-oriented programming, as well as classical and quantum physics. Melvina has worked with several companies in the past, including Oracle and TSYS, where she worked as a Senior Software Engineer. Her daily engineering work focused on automated deployments and developer tools in Python for Kubernetes and Jenkins; creating Tensorflow machine learning models from data pipelines; upgrading said data pipelines; developing API products from an initial schematic to a working prototype; deploying it to a test environment in Docker and Kubernetes; creating fully automated test cases in the JUnit framework; and debugging issues in Beta/UAT until the API is ready for production. Melvina's technical stack includes Kubernetes, ML, Tensorflow, Spring, Java, Python, Docker, Software Engineer, test, Jenkins, Elastic Search, Kafka, Mobile, and Web. With 7.10 years of relevant experience, Melvina is a highly skilled and experienced Artificial Intelligence Consultant who can help businesses achieve their goals.