Tianyunyang W
Senior Software Engineer at JPMorgan Chase & Co.
Beijing, United States
Summary
👤
Senior🎓
Top SchoolTianyunyang W is a Senior Software Engineer with six years of experience building cloud-native, scalable systems across AWS and financial services. He has driven capacity management and on-demand autoscaling for Aurora Storage at AWS and now leads LLM-driven vulnerability remediation and SBOM storage projects at JPMorgan Chase, blending security automation with prompt-engineered remediation. Skilled in Terraform, Python, Go, and a wide range of AWS services, he designs cross-platform, production-ready systems that connect scanning tools like Snyk to personalized fixes. His background spans rigorous engineering training from NYU, ENSTA Bretagne, and Tongji University, which informs a pragmatic approach to distributed systems and data processing. Notably, he combines low-level storage and load-balancing expertise with emerging LLM workflows to make remediation both scalable and context-aware.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Enigineering, Master of Science - MS, Computer Enigineering at New York UniversityBachelor of Engineering - BE, Electrical Engineering and Automation, Bachelor of Engineering - BE, Electrical Engineering and Automation at 同济大学Software Engineering, Software Engineering at ENSTA Bretagne
Github Skills (27)
foundation-models10
chatbot10
chatgpt9
multimodal9
llama8
deepfake6
discovery6
generative-model5
generative-adversarial-network5
benchmark4
text-to-image4
directions4
diffusion-models4
robustness4
adapter4
Programming languages (3)
Github contributions (5)
ICTMCG/DNA-Det
Dec 2021 - Mar 2022
This is the official repository for the code and datasets in the paper "Deepfake Network Architecture Attribution", AAAI 2022.
Contributions:33 commits, 25 pushes, 3 comments in 2 months
deepfake
TianyunYoung/Hallucination-Attribution
Feb 2025 - Jul 2025
This repo contains the code for the paper "Understanding and Mitigating Hallucinations in Large Vision-Language Models via Modular Attribution and Intervention, ICLR 2025".
Contributions:2 PRs, 12 pushes, 2 branches in 4 months
language-model
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.