Luke Godfrey

I am a software engineer with over 10 years in programming. I have a PhD in machine learning, and have more than 6 years of professional experience working at tech startups. In my current role as Senior Software Engineer at Atomic.financial, I help lead the team in designing, coding, testing, and maintaining a large scale, robust platform using a microservice architecture.

• GitHub
• NPM
• Resume

Education

• PhD in Computer Science, 2018, emphasis in machine learning, University of Arkansas
• MS in Computer Science, 2015, emphasis in machine learning, University of Arkansas
• BS in Computer Science, 2014 University of Arkansas

Skills

Here is a (non-exhaustive) list of technologies I am comfortable utilizing.

• TypeScript/JavaScript with NodeJS, NestJS, TypeORM, and React
• PostgreSQL and other SQL-based DBMS
• Redis
• RabbitMQ
• AWS (EC2, S3, RDS, Textract, and more)
• GCP
• Docker, Kubernetes, and GitHub (including CI/CD pipelines with unit and integration tests in GitHub Actions)
• C++, Java, Swift, Lua, PHP, and similar languages
• Python, Flask, TensorFlow, Keras, NumPy

Patents and Peer-Reviewed Publications

• Godfrey, Luke B. 2022. “System and method for recurrent neural networks for forecasting of consumer goods' sales and inventory.” U.S. Patent US-11334790-B1.
• Godfrey, Luke B. and Michael S. Gashler. 2018. “Leveraging Product as an Activation Function in Deep Networks.” In Systems, Man and Cybernetics, 2018 IEEE International Conference on. Miyazaki, Japan: IEEE.
• Sha, Zhenghui, Luke B. Godfrey, and Michael S. Gashler. 2018. “Modeling Sequential Design Decisions Using Fine-Grained Empirical Data.” In Design Science Research 2018: Workshop on Data Driven Design and Learning. Montreal, Canada.
• Godfrey, Luke B. and Michael S. Gashler. 2018. “Neural decomposition of time-series data for effective generalization.” IEEE Transactions on Neural Networks and Learning Systems 29, no. 7 (2018): 2973-2985. IEEE.
• Godfrey, Luke B. and Michael S. Gashler. 2018. “A parameterized activation function for learning fuzzy logic operations in deep neural networks.” In Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on, 740-745. Banff, Canada: IEEE.
• Godfrey, Luke B. and Michael S. Gashler. 2017. “Neural decomposition of time-series data.” In Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on, 2796-2801. Banff, Canada: IEEE.
• Godfrey, Luke B. and Michael S. Gashler. 2015. “A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks.” In Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), 2015 7th International Joint Conference on, 481-486. Lisbon, Portugal: IEEE.

Personal Projects

• Spurgeon Morning and Evening. iPhone App (Swift) and Android App (Ionic/Cordova), 2016. Over 5,000 unique users every day as of January 2023.
• RePete. Game on Steam and iOS, 2015. Over 25,000 units sold.
• KestersHeatingAndAir.com. Website for a local HVAC company that I designed and maintain (HTML, CSS, and PHP).
• HopeCBC.org. Website for a local church that I maintain.