Liangqi Yuan

Liangqi Yuan

PhD Candidate

Purdue University

I am a PhD candidate in the School of Electrical and Computer Engineering at Purdue University, advised by Prof. Christopher G. Brinton, and expect to graduate in December 2026. My research focuses on agentic LLM systems in which multiple models and agents work together to solve tasks more effectively than any single model. I am driven to make these systems both powerful and practical, delivering frontier-level performance under real-world resource constraints. To this end, my work advances LLM agents through multi-LLM routing and multi-agent coordination.

I am on the job market for Research Scientist / Research Engineer / AI Engineer roles in agentic AI and LLM inference, starting January 2027.

Interests
  • Agentic AI
  • Collaborative LLM Systems
  • Efficient LLM Inference
Experience
  • SWE Intern, Summer 2025 & 2026

    Meta

  • Research Intern, Fall 2025

    OPPO US Research Center

  • PhD in ECE, Expected Dec 2026

    Purdue University

News

Selected Publications

For a complete list of publications, please see Publications.

Services

  • Conference Reviewer NeurIPS, ICML, ICLR, AAAI, AISTATS, ACM MM, CIKM, INFOCOM, ICDCS, ICC
  • Journal Reviewer TPAMI, TNNLS, TKDE, JSAC, ToN, TMC, TPDS, TWC, TCOM, TNSE, TNSM, IMWUT, TIST, TITS, TIV

Contact