Nicholas Tallant is a Senior Software Engineer specializing in AI with eight years of experience building cloud-native, data-driven systems for nonprofits, government, and defense. He has led technical teams and shipped real-time machine learning pipelines for high-throughput media ingestion, propaganda analysis, and criminal-justice infrastructure, blending engineering, data science, and policy insights. Nicholas pairs econometric and spatial analysis training from the University of Chicago with hands-on production skills in Python, Kubernetes, AWS, and TensorFlow to turn social problems into measurable interventions. He’s briefed senior military leadership, written technical grant language for government clients, and mentored engineers and data scientists across organizations. Based in Greater Chicago, he brings a rare mix of applied ML at scale and policy-oriented quantitative rigor, with past work ranging from iOS ML apps to hierarchical modeling of education outcomes.
8 years of coding experience
8 years of employment as a software developer
Master of Science in Computational Analysis & Public Policy, Master of Science in Computational Analysis & Public Policy at Harris School of Public Policy at the University of Chicago
Bachelor of Science with Honors, Liberal Studies in Music and Science, Bachelor of Science with Honors, Liberal Studies in Music and Science at East Texas A&M University
A personal library for data engineering and analysis in python.
Contributions:2 PRs, 99 pushes, 3 branches in 5 years 10 months
data-analysispythondatadata-scienceanalysis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Nicholas Tallant - Senior Software Engineer, AI at Turquoise