# Yanbin Jiang

> Full-Stack LLM Engineer | LLM Infra • RL Research • Training Platforms

Location: Sunnyvale, California, United States
Profile: https://flows.cv/yanbinjiang

LLM infra engineer and RL researcher, active contributor to open-source RL framework VeRL. Builds LinkedIn's internal RL platform for CoreAI research. Current research focuses on enhancing LLM reasoning and tool calling capabilities in multiturn scenarios.

Deep expertise spans the entire LLM lifecycle:
• 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 – Designed LinkedIn's foundational model training platform, migrating teams to a unified system that remains the company-wide backbone for LLM training
• 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Specializes in training acceleration and resolving complex training bottlenecks for large-scale models
• 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 – Transforms cutting-edge LLM research into production-ready solutions
• 𝐂𝐫𝐨𝐬𝐬-𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 – Bridges technical gaps between LLM infrastructure, research, and product development

## Work Experience
### Staff Software Engineer @ LinkedIn
Jan 2018 – Present | Mountain View
• 𝐑𝐋 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 – Designed and deployed LinkedIn's internal RL platform enabling multiple teams' research efforts; contributed key improvements to open-source 𝑽𝒆𝑹𝑳 framework; conducting research on enhancing LLM reasoning and tool calling in multiturn scenarios

• 𝐋𝐋𝐌 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 – Architected LinkedIn's foundational model training platform, onboarding teams to unified workflows; optimized training performance and resolved complex bottlenecks for large-scale models; delivered platforms that remain the backbone for company LLM development

•  𝐂𝐫𝐨𝐬𝐬-𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐁𝐫𝐢𝐝𝐠𝐞 – Facilitated collaboration between infrastructure and modeling teams by translating technical requirements and developing user-centric interfaces; bridged research breakthroughs with product applications through practical prototyping

### Software Engineer Internship @ Amazon
Jan 2017 – Jan 2017 | Greater Seattle Area
• Worked with Service Framework team
• Developed an automation tool to detect upgrade issues for ~27,000 existing Coral services.


## Education
### Master’s Degree in Computer Science
University of Southern California

### Bachelor's degree
Sichuan University

### Computer Science
National University of Singapore


## Contact & Social
- LinkedIn: https://linkedin.com/in/yanbinj
- GitHub: https://github.com/jybsuper

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Source: https://flows.cv/yanbinjiang
JSON Resume: https://flows.cv/yanbinjiang/resume.json
Last updated: 2026-04-12