- Data Engineering
- Model Deployment
- AWS & Azure Stack
- Serverless & Microservices
Justin Simcock is a data engineer at SFL Scientific focusing on developing and deploying modern architectures and services for digital and data science applications. He is an expert in DevOps and SysOps principles and works with organizations to launch cloud, serverless, and scalable microservices. Prior to joining SFL Scientific, he worked for Rhodium Group, an economic policy research firm. While at Rhodium, he built distributed computing systems and research tools to perform econometric and climate science simulations for policy analysis. His work has been published in journals such as Nature as well as the New York Times, Financial Times, and Wall Street Journal.
Justin’s spent is early public and professional career in Defense, Foreign Affairs, and Policy. He worked as a cryptologist for the Department of Defense, later working as a Foreign Service Officer in Shanghai and Bogota. He is a graduate of Boston University and the Defense Language Institute and also completed advanced graduate studies in Chinese Studies at the University of Hawaii, Manoa. Justin earned his Master’s in Data Science and Engineering at the University of New Haven. Justin provides SFL Scientific’s clients with reliable and scalable data engineering solutions, working as a hybrid AI engineer and backend developer, helping to integrate and structure data from multiple sources in new applications.