Summary
Austin Marcus is a technical lead and AI engineer with ~10 years of experience building and shipping computer vision and perception systems across startups and research labs. He has led ML teams and architectures in production-constrained domains—autonomous inventory UAVs, logistics optimization, and cloud AI engines—bridging research-grade models with robust MLOps and field deployments. Trained as a cognitive neuroscientist at Carnegie Mellon and the University of Pittsburgh, he leverages human perception insights to inform model design and evaluation. He’s moved between hands-on roles (modeling, pipelines, edge inference) and leadership positions (CTO, team lead), scaling distributed teams and operations internationally. A multilingual creative, Austin brings uncommon cross-disciplinary skills—synesthesia-informed artistic practice, music composition, and wine expertise—that shape a distinctive, human-centered approach to ML systems. Based in Pittsburgh, he combines academic rigor with pragmatic delivery to turn perceptual research into real-world, scalable products.
10 years of coding experience
10 years of employment as a software developer
Certificate, Organizational Leadership, Certificate, Organizational Leadership at Harvard Business School Online
High School Diploma, High School Diploma at Scarsdale High School
Bachelor of Science (B.S.), Psychology, Bachelor of Science (B.S.), Psychology at Carnegie Mellon University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of Pittsburgh
English, Spanish, French, Russian, Arabic, Chinese, Japanese, Greek, Hindi