Trevor Hobenshield is a versatile software developer and ML engineer with six years of experience building efficient data pipelines, APIs, and automation for clients ranging from Universal Music to AutoTrader. He combines practical ML research—pruning, distillation, and quantization for low-power inference—with hands-on engineering in Node.js and Python to deliver production-ready solutions on AWS, GCP, and Azure. At ChainXY he led a data pipeline optimization that cut processing time by over 10x, and his open-source X/Twitter data collection library has attracted substantial community adoption. Comfortable reverse-engineering APIs and scaling web scraping systems for LLM training, he bridges analytics, performance engineering, and applied research to solve messy, real-world data problems. Based in Vancouver, he pairs academic grounding in machine learning with a knack for pragmatic tooling that accelerates analytics and model development.
6 years of coding experience
1 year of employment as a software developer
British Columbia Institute of Technology (BCIT)
Engineering Transfer Program, Engineering Transfer Program at Langara College
Implementation of X/Twitter v1, v2, and GraphQL APIs
Contributions:4 PRs, 192 pushes, 3 branches in 1 year 3 months
apiasyncautomationbotscrape
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