Summary
Nathan Adams is a pragmatic software engineer with a decade of hands-on experience building full-stack applications and production systems using C++, Java, Python, React, Node.js, and AWS. Currently at G-Research, he blends industry-grade engineering with a researcher's curiosity, recently expanding into NLP and large language models like GPT-2 and GPT-3. His background uniquely combines formal training in applied cognition and neuroscience with CNIM-certified clinical neurophysiology work, giving him strong systems thinking and attention to safety-critical detail. Nathan has also worked independently as a contractor and runs full-stack projects leveraging Django, Flutter, and modern devops practices. Based in Keller, Texas, he brings practical DevOps and Java experience accumulated over more than a decade while rapidly adopting ML tooling and cloud-native workflows. Colleagues appreciate that he pairs disciplined engineering with an ability to translate complex technical ideas across teams.
9 years of coding experience
Master of Science (M.S.), Applied Cognition and Neuroscience, 3.8, Master of Science (M.S.), Applied Cognition and Neuroscience, 3.8 at The University of Texas at Dallas
Bachelor of Science (B.S.), Psychology, 3.5, Bachelor of Science (B.S.), Psychology, 3.5 at Texas A&M University
Bachelor of Science (B.S), Computer Science, 3.7, Bachelor of Science (B.S), Computer Science, 3.7 at University of North Texas