Summary
Micah Corning-myers is a Staff Engineer based in Chicago with nine years building everything from customer-facing websites to advanced ML and image-recognition systems. He blends full-stack and data engineering experience—recent roles include developing geospatial tools and document-embedding/vector DB work—while tackling big data, network analysis, statistical learning, and NLP to study how extremist politics spread. Micah has entrepreneurial roots, founding startups that deployed robotics automation, Bitcoin PoS systems, and a global B2C supply chain serving 100,000+ customers. Trained in quantitative social science at the University of Chicago, he brings a research-minded approach to production systems and teaching, having lectured on graph theory and data visualization. Colleagues know him for translating complex social-science questions into scalable engineering solutions that surface nonobvious patterns in noisy data.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA, Gender Studies, Bachelor of Arts - BA, Gender Studies at Indiana University Bloomington
Master of Arts - MA, Social Sciences - Quantitative Methods, Master of Arts - MA, Social Sciences - Quantitative Methods at University of Chicago