Dwayne Khallique Jones

Dwayne Khallique Jones is a seasoned technology professional with extensive experience in machine learning engineering and software development. Currently a Freelance Machine Learning Engineer at Tribe AI and independently, Dwayne has worked on various projects involving natural language processing, text classification, and ETL pipelines for analytics. Previously, as a Senior Machine Learning Engineer at Overjet, Dwayne played a pivotal role in refining computer vision models for dental record analysis while ensuring compliance with industry standards. As Director of Software Engineering at RailState, Dwayne oversaw the development of an IoT Sensor Network Platform and collaborated with cross-functional teams. Additional roles include Research Engineer at MIT Media Lab, Software Engineer at OpenFin and Permission Data, and foundational work as a student at Recurse Center. Dwayne holds a Bachelor of Science in Computer Science from Rochester Institute of Technology and a high school diploma in Biomedical Sciences from Brooklyn Technical High School.