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.
9 years of coding experience
Exchange Student, EECS & Haas, 3.77/4.0, Exchange Student, EECS & Haas, 3.77/4.0 at University of California, Berkeley
Bachelor's degree, Computer Science and Technology && Accounting, 83/100, Bachelor's degree, Computer Science and Technology && Accounting, 83/100 at Nanjing University
Master'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
Contributions:2 PRs, 17 pushes, 2 branches in 1 year
xapimock-datafinancemockseeding
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.