Chulong Li
Software Engineer II at Microsoft
Suzhou City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolChulong Li is a Software Engineer II at Microsoft with eight years of experience building AI applications and large-scale distributed systems, currently focusing on agentic AI within the Microsoft ecosystem. He previously contributed to Microsoft 365 big data efforts and earlier built Kafka- and Hadoop-based data pipelines at Huawei for intelligent data-center analytics. His background combines hands-on data engineering, analytics research, and software development—from text analytics and Selenium-based data collection to production-grade distributed systems. Trained at The Ohio State University in Computer and Information Science with a minor in Economics, he brings both technical depth and an eye for product impact. Comfortable across Python, SQL, and big-data stacks, he bridges research insights and operational delivery to improve user-facing products. Notably, he pairs AI-centered ambitions with practical experience in instrumenting and analyzing large-scale data flows rather than only model-building.
8 years of coding experience
3 years of employment as a software developer
Minor, Economics, Minor, Economics at The Ohio State University College of Arts and SciencesBachelor of Science - BS, Computer and Information Science, Bachelor of Science - BS, Computer and Information Science at The Ohio State University
English, Chinese, French, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
mesos10
kubernetes10
docker10
postgresql-database10
twitter10
mod-manager10
kubernetes-monitoring10
scheduling10
pagerank10
sentiment10
go10
tweepy10
heroku9
sentiment-analysis9
streaming9
Programming languages (5)
Github contributions (5)
Chulong-Li/Smart_Fitness_Assistant
May 2019 - Aug 2019
Contributions:1 release, 44 commits, 40 pushes in 2 months
Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition
Aug 2019 - Sep 2019
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Contributions:2 releases, 128 commits, 2 PRs in 1 month
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