Experience

  1. Waymo logo

    Ph.D. Research Intern

    Waymo
    • Perception Team. Develop VLM-based metric depth estimation models for autonomous driving, enabling point-level and object-centric distance prediction from camera/video inputs and scene metadata.
    • Build data generation and evaluation pipelines for spatial reasoning tasks (absolute depth prediction, relative depth comparison, temporal depth consistency).
    • Mentors: Mayank Singal, Prasanna Krishnasamy. Manager: Ming Zou.
  2. Georgia Institute of Technology logo

    Graduate Research Assistant

    Georgia Institute of Technology
    Advisor: Prof. Srijan Kumar. Research on LLM agents, agent memory, multimodal LLMs, self-distillation, and graph mining. Publications include ACL'26, ICLR'26, ICWSM'26, EMNLP'25, ACL'25, WebConf'24, ACL'24, KDD'23, CIKM'24.
  3. J.P. Morgan AI Research logo

    Research Scientist Intern

    J.P. Morgan AI Research
    • Led SlideAgent, a hierarchical agentic framework for multi-page visual document understanding (ACL 2026 main).
    • Built MLLM-based agentic pipelines for parsing high-resolution slide decks and financial reports, integrating context compression and retrieval-augmented generation.
    • Mentors: Rachneet Kaur, Zhen Zeng. Managers: Sumitra Ganesh, Manuela Veloso.
  4. Visa Research logo

    Research Collaborator (Visa Research Grant)

    Visa Research
    • Led SARA, a selective and adaptive RAG framework with context compression (ACL 2026 main).
    • Developed a hybrid compression strategy combining fine-grained spans with compact semantic vectors, achieving consistent gains across Mistral, Llama, and Gemma.
    • Mentors: Vineeth Rakesh Mohan, Yingtong Dou, Menghai Pan. Manager: Mahashweta Das.
  5. Adobe Research logo

    Research Scientist Intern

    Adobe Research
    • Built ScreenLLM, a multimodal LLM for GUI understanding and action prediction (WebConf'25 MM4SG Workshop).
    • Designed a stateful screen schema that summarizes dynamic UI sessions as time-aware textual context, plus a key-frame extractor for significant UI transitions.
    • Mentors: Gang Wu, Yu Shen, Stefano Petrangeli. Managers: Saayan Mitra, Vishy Swaminathan.
  6. Microsoft Research Asia (Social Computing Group) logo

    Research Scientist Intern

    Microsoft Research Asia (Social Computing Group)
    • Mentors: Xiting Wang, Jindong Wang, Xing Xie.
    • Published papers across LLMs (ICML'24, ICML'23, AAAI'23), LLM agents (EMNLP'24, ICML'24), misinformation detection (KDD'22, AAAI'22), few-shot learning (ACL'24, AAAI'23), and explainable AI (AAAI'22).
    • Received Microsoft Research “Star of Tomorrow” Award (2021).
  7. UCLA Scalable Analytics Institute (ScAi) logo

    Undergraduate Research Assistant

    UCLA Scalable Analytics Institute (ScAi)
    • Advisors: Prof. Yizhou Sun, Prof. Wei Wang.
    • Continuing collaborator on graph neural networks, code recommendation, and protein/biology-focused LLMs (EMNLP'25, WebConf'23).
  8. Amazon (Fulfillment By Amazon) logo

    Software Engineer Intern

    Amazon (Fulfillment By Amazon)
    • Designed and implemented IAR Manual Analysis, a scalable workflow on AWS Step Functions and Lambda that automates aggregation of S3 and DynamoDB data for SageMaker training, handling >16k requests per summary stage.
    • Deployed the workflow across all AWS regions (EU/FE/NA) via CloudFormation; built DataCraft pipeline for ingesting DynamoDB tables into the Andes catalog.
  9. IBM China Development Laboratories logo

    Software Engineer Intern

    IBM China Development Laboratories
    • Built Compass DataRouter (Go + MongoDB) for the Compass project, reducing memory usage and accelerating data retrieval.
    • Improved the Compass monitoring dashboard with React.js.

Education

  1. Georgia Institute of Technology (Georgia Tech) logo

    Ph.D. in Computer Science

    Georgia Institute of Technology (Georgia Tech)
    Advised by Prof. Srijan Kumar. Research focus on LLM agents, agent memory, multimodal LLMs, and efficient LLM adaptation. GPA: 4.0/4.0.
  2. University of California, Los Angeles (UCLA) logo

    B.S. in Computer Science

    University of California, Los Angeles (UCLA)
    GPA: 3.82/4.0. Published 4 papers (3 first-authored) at top-tier ML and data mining venues (AAAI, KDD, Web Conference). Dean’s Honor List (5 times).
Skills & Hobbies
Research Areas
Large Language Models (LLMs)
LLM Agents & Multi-Agent Systems
Multimodal LLMs
Agent Memory & Continual Adaptation
Self-Distillation & Efficient AI
Graph Neural Networks
Hobbies
Rabbit
Photography
Hiking
Awards
MLCommons ML and Systems Rising Stars
MLCommons ∙ January 2026
Recognized among rising stars in ML and systems research.
Best Paper Award at Good-Data @ AAAI 2025 Workshop
AAAI Conference ∙ March 2025
SciEvo received Best Paper (2 of 25 accepted) at the Good-Data @ AAAI 2025 Workshop.
Roblox Graduate Fellowship Finalist
Roblox Corporation ∙ December 2024
Selected as finalist for the Roblox Graduate Fellowship supporting research in AI and gaming.
AAAI Student Scholarship (3 times)
AAAI Conference ∙ March 2025
Student scholarships at AAAI 2022, 2023, and 2025.
Microsoft Research “Star of Tomorrow” Award of Excellence
Microsoft Research ∙ June 2021
Awarded for research contributions during internship at Microsoft Research Asia.
UCLA Dean’s Honor List for Superior Academic Achievement (5 times)
UCLA ∙ December 2021
Dean’s Honor List in Spring 2019, Winter 2020, Spring 2020, Winter 2021, and Spring 2021.
Languages
100%
English
100%
Chinese
25%
Japanese