Summary
Austin Leirvik is a Staff Data Scientist based in the UK with 15 years of experience building production ML systems in ad tech and cybersecurity. He has progressed from early-stage data scientist roles to technical leadership at HUMAN, where he focuses on scalable detection and modeling for fraud and abuse. His background in speech and language processing and linguistics informs a strong foundation in signal processing and feature engineering across large web-scale datasets. At Affectv he shipped language-agnostic website classification and real-time bidding agents, work that contributed to the company’s first patent application. Known for mentoring peers and translating research into low-latency, production-ready systems, he blends academic rigor with hands-on product delivery. Outside core modeling work he brings cross-disciplinary strengths from speech technology to practical adversarial detection.
15 years of coding experience
9 years of employment as a software developer
MSc, Speech and Language Processing, Distinction, MSc, Speech and Language Processing, Distinction at The University of Edinburgh
BA, Linguistics, 3.93, BA, Linguistics, 3.93 at University of Oregon
BS, Computer Science, 3.91, BS, Computer Science, 3.91 at Portland State University
English, French, Norwegian