Summary
Dakota Dale is a full-stack developer and MS candidate in Computer Science at the University of Arkansas with a decade of hands-on experience building ML-driven systems for real-world problems. His research blends open-source intelligence from Twitter with custom BiGRU models, Spacy NER, and NetworkX event detection to analyze cyber threats—achieving a 97.2% AUC in current experiments. He has applied similar ML and imaging techniques to precision agriculture, producing a rice-field classifier with a 99.1% AUC, and has production experience at Bastazo, Inc. Dakota seeks roles at the intersection of AI and social or environmental good, pairing rigorous academic training (4.0 MS) with practical data-labeling, transfer learning, and pipeline engineering skills. Notably, he combines outreach experience with research productivity, regularly presenting to advisors and drafting academic manuscripts while mentoring K-12 STEM through university programs.
10 years of coding experience
4 years of employment as a software developer
4.05, 4.05 at Cave City High School
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at University of Arkansas
Spanish