Summary
Haoran Sun is a backend-focused Software Development Engineer with nine years of engineering experience and six years specializing in high-scale business intelligence systems, currently building analytics features for AWS QuickSight in San Diego. He combines a strong academic foundation (BS and MS from UC San Diego) with practical data and ML-driven tooling experience from research and industry, including ETL pipelines, topic modeling, and Chinese-language legal analytics. His background spans cloud-native backends (ASP.NET Core, Azure CosmosDB) to modern web front-ends (Angular/TypeScript) and graph/datastore work (neo4j), enabling end-to-end feature delivery. Notably, he has published research on large-scale legal document analytics and built unsupervised NLP pipelines (CoreNLP, spaCy, TextRank, RAKE) that informed production annotation and recommendation systems. Pragmatic and curious, he thrives at the intersection of data engineering, NLP, and scalable backend systems.
9 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 California San Diego
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of California, San Diego
High School Diploma, 4.0, High School Diploma, 4.0 at The Second High School Attached to Beijing Normal University
Chinese, English