Summary
Justus Croskery is a University of Toronto computer science and applied mathematics student with eight years of practical engineering experience building AI-driven web and security tools. He led development of RegAI at Oppos, cutting LLM costs by 80% via a hybrid querying strategy and boosting backend performance 200%, and later integrated those capabilities into a GRC platform using Angular and Django. His work spans ML research—training ResNet-50 models for bird species classification and analyzing model vs. human confusion patterns—to deployed products like a VC-advice chatbot and a machine-learning social media automation site. Comfortable across Python, Node.js, and Linux, he pairs hands-on backend optimizations with security-minded engineering, evidenced by a first-place university cybersecurity competition win. Open to software development or research roles for summer 2024, he brings a rare mix of production impact and research curiosity.
8 years of coding experience
4 years of employment as a software developer
Honours Bachelor of Science Computer Science, Honours Bachelor of Science Computer Science at University of Toronto