Summary
John Mcconnell is an Associate Software Engineer based in New York with nine years of diverse technical and consulting experience, currently building software at Prudential Financial. He brings a unique blend of applied ML and product-focused engineering from prior roles training biometric and fraud-detection models and improving operational tooling at IDmission. His GitHub work centers on autonomy for underwater vehicles, with a focus on SLAM and 3D mapping—skills that signal strong algorithms and spatial-computing interest beyond typical enterprise stacks. Trained through Dev10 and experienced across Java, JavaScript, Spring, React, AWS, and Docker, he bridges the gap between prototype ML systems and production-ready cloud services. With a liberal-arts background in global studies and Russian language, he pairs technical craft with cross-cultural communication and a knack for translating complex problems into pragmatic solutions.
9 years of coding experience
2 years of employment as a software developer
Russian Studies, Russian Studies at Higher School of Economics
Global Studies, Russian Language & Culture, Anthropology, Global Studies, Russian Language & Culture, Anthropology at Colby College
Russian Language and Literature, Russian Language and Literature at Al-Farabi Kazakh National University
General Studies, 4.0 Unweighted GPA, General Studies, 4.0 Unweighted GPA at Falmouth High School
Russian, Spanish, Portuguese