Dongcheng Huang

Student

United States
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Summary

👤
Senior
🎓
Top School
Dongcheng Huang is a dual-degree graduate in Computer Science and Accounting from Nanjing University with nine years of hands-on experience building and evaluating data pipelines and LLM applications. He has contributed to privacy research in federated learning and automated dataset synthesis and SFT pipelines during internships at Baidu and Kingdee, linking data quality to model performance through a data flywheel approach. Comfortable with Java and JavaScript, he also taught programming to large undergraduate cohorts and enforced academic integrity, sharpening his communication and mentorship skills. An exchange student at UC Berkeley and incoming MSA data-track student at UIUC, he blends rigorous technical grounding with financial domain insight and practical AI engineering. Unusually for a student profile, he has experience designing CoT prompts and domain-specific datasets that directly improved LLM reasoning in financial scenarios.
code9 years of coding experience
bookExchange Student, EECS & Haas, 3.77/4.0, Exchange Student, EECS & Haas, 3.77/4.0 at University of California, Berkeley
bookBachelor's degree, Computer Science and Technology && Accounting, 83/100, Bachelor's degree, Computer Science and Technology && Accounting, 83/100 at Nanjing University
bookMaster's degree, MSA, Data Track, 4.0/4.0, Master's degree, MSA, Data Track, 4.0/4.0 at University of Illinois Urbana-Champaign
languagesChinese, English
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Github Skills (38)

utf7
security7
refer7
database7
react6
type-system6
css6
typescript6
javascript6
gpt5
lodash5
java5
admin5
utilities5
langchain4

Programming languages (7)

TypeScriptJavaJavaScriptVueGoHTMLPython

Github contributions (5)

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CH0918/my-vue3

Feb 2022 - Mar 2022

Contributions:25 commits, 24 pushes, 1 branch in 1 month
CH0918/MockDataFinance

Sep 2018 - Oct 2019

Mock Data For finance project
Contributions:2 PRs, 17 pushes, 2 branches in 1 year
xapimock-datafinancemockseeding
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