Kevin Esslinger is a research engineer and software engineer with nine years of experience applying machine learning and quantitative techniques to real-world problems, currently advancing research at Flow Traders in Amsterdam. He blends academic rigor from an MS at Northeastern—where he worked on partially observable reinforcement learning with transformers—with hands-on trading-tech experience building RFQ and cross-chain swap platforms. A pragmatic team builder, he has progressed from graduate Java developer to research engineer while maintaining a focus on collaboration and production-ready systems. His background spans molecular visualization tools in Common Lisp, undergraduate ML research, and an SDE internship at Amazon, reflecting both breadth and depth across languages and domains. Kevin’s work often sits at the intersection of research and production, turning ML prototypes into trading-edge features. Colleagues describe him as solutions-oriented and curious, with a knack for making complex algorithms usable in high-throughput environments.
9 years of coding experience
9 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Temple University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Northeastern University
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Kevin Esslinger - Research Engineer at Flow Traders