Summary
Xinlei Chen is a data engineer with a decade of experience building production ML and data platforms, currently driving Databricks-based pipelines, CI/CD, and an internal RAG LLM agent at Frostbite. With an MS in Computing Science from the University of Alberta, Xinlei blends IoT and smart-building research with hands-on cloud engineering—having built ELT pipelines, FastAPI microservices, and containerized deployments for thousands of commercial buildings at BrainBox AI. Proficient in Python and SQL and familiar with Java, C++ and Go, he applies NLP and LLM techniques to automate insights from Jira and Slack while integrating vector databases for retrieval-augmented workflows. Notably, his academic work produced a novel solar disaggregation method accepted to ACM e-Energy, illustrating a knack for turning research ideas into practical, production-ready systems.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Alberta