Summary
Lennie Budgell is a full-stack developer and applied researcher with 14 years of experience building scalable web and AI-integrated systems, and a strong background in security research and offensive analysis. He blends backend engineering (Go, Python, Postgres, Neo4j) with frontend work (HTMX, HTML/CSS) to deliver end-to-end products—from recommendation engines and VLM/LLM integrations to consultation summarization and interactive preference visualizations. Lennie has led applied research projects in machine vision, synthetic data generation, and graph analytics while also designing automated security tooling and conducting infrastructure audits for healthcare and enterprise clients. Comfortable across startups and research labs, he bridges practical engineering with exploratory research and has a history of shipping privacy-conscious ML features and portable, containerized backends. Based in Canada, he pairs a formal CS education with hands-on infosec volunteering on darknet and medical-infrastructure projects, an unusual mix that informs both secure architecture and creative problem solving.
14 years of coding experience
7 years of employment as a software developer
Diploma, Computer Systems Technology, Diploma, Computer Systems Technology at Kelsey SIAST
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Saskatchewan
English