Shiqi Sun
Prompt Engineer at Outlier AI
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolShiqi Sun is a prompt engineer and full-stack developer with nine years of experience blending software engineering, quantitative finance, and machine learning. With strong proficiency in Java, Python, C++, R and web technologies, Shiqi has built production-ready systems from MySQL-backed recommendation engines deployed on AWS to research-grade systemic risk models using DCC-GARCH. Past roles at Bloomberg and internships across major financial firms reflect deep domain expertise in asset risk, portfolio construction and feature engineering via AutoML. At Outlier AI they now focus on prompt engineering at the intersection of LLMs and applied finance, bringing algorithmic thinking and data-structure rigor to generative workflows. Colleagues describe Shiqi as someone who turns complex quantitative problems into practical, deployable tools—often inventing bespoke evaluation metrics and ranking algorithms along the way.
9 years of coding experience
3 years of employment as a software developer
Dual Bachelor's degrees Finance & Mathematics, Dual Bachelor's degrees Finance & Mathematics at Wuhan UniversityMaster's degree Financial Engineering, Master's degree Financial Engineering at New York University
Chinese, English
Github Skills (30)
apache-spark10
spark10
google-cloud-dataproc10
python10
lifecycle10
r10
big-data10
kubernetes-operator10
apache10
jdbc10
analytics10
java10
large-scale10
scala10
scale10
Programming languages (5)
Github contributions (5)
huskysun/hello-world
Oct 2016 - Jun 2018
Contributions:2 PRs, 4 pushes, 3 branches in 1 year 7 months
huskysun/spark
Sep 2020 - Nov 2022
Apache Spark - A unified analytics engine for large-scale data processing
Contributions:6 pushes, 3 branches in 2 years 1 month
analyticsdata-processingapachebig-dataspark
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