Summary
Liangyu Chen is a software engineer and machine learning practitioner with 11 years of experience building data-driven systems that turn raw signals into actionable forecasts and reporting. He has delivered ML pipelines and automation across enterprise contexts at Microsoft, Outreach, Homebound, and now Salesforce, where he focuses on multi-tenant MLflow services and knowledge-graph management for agent experiences. His background spans production data engineering (real-time PySpark checks, KPI reporting) to model explainability and lifecycle automation, helping sales teams accelerate prospecting through predictive insights. Liangyu pairs deep systems experience—from RF/driver work early in his career to Android and Windows tooling—with applied ML, enabling robust end-to-end solutions that bridge research and product. He holds advanced degrees from UC Irvine and National Taiwan University and is notable for moving complex modeling work into scalable, multi-tenant services rather than one-off experiments.
11 years of coding experience
12 years of employment as a software developer
Master's degree Electrical Electronic and Communications Engineering Technology/Technician, Master's degree Electrical Electronic and Communications Engineering Technology/Technician at National Taiwan University
B.S Electrical Engineering, B.S Electrical Engineering at National Central University
University of California, Irvine
English