Experience
Applied Scientist Intern
Amazon- Develop joint policy and world model networks for long-trajectory agentic tasks.
- Mentor: Anwesan Pal. Manager: Narayanan Sadagopan.
Ph.D. Intern
Waymo- Developed a unified VLM for embodied AI perception across diverse weather, geographic regions, and lighting conditions (patent pending).
- Built perceptual capabilities for vision-language-action (VLA) systems, including dense depth, object distance, driving relevance, depth ordering, and time-to-reach reasoning, through a shared geometry-language representation.
- Mentor: Prasanna Krishnasamy. Managers: Ming Zou, Christian Lauterbach.
Research Scientist Intern
J.P. Morgan AI Research- Led SlideAgent, a hierarchical agentic framework for multi-page visual document understanding (ACL 2026 Main; patent pending).
- Built multimodal pipelines for slide decks and financial reports, including MM-BizRAG (ACL 2026 Industry Track), integrating context compression and retrieval-augmented generation.
- Mentors: Rachneet Kaur, Zhen Zeng. Managers: Sumitra Ganesh, Manuela Veloso.
Research Collaborator (Visa Research Grant)
Visa Research- Led SARA, a selective and adaptive RAG framework with context compression (ACL 2026 Main, Oral).
- 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.
Research Scientist Intern
Adobe Research- Built ScreenLLM, a multimodal LLM for GUI understanding and action prediction (WebConf'25 Companion).
- 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.
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).
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.
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
Ph.D. in Computer Science
Georgia Institute of Technology (Georgia Tech)- Advisor: Prof. Srijan Kumar.
- Research on multimodal foundation models, world models and spatial reasoning, LLM agents and multi-agent systems, and post-training and self-improvement.
- Publications include NeurIPS'26, EMNLP'26, ACL'26, ICLR'26, ICWSM'26, EMNLP'25, ACL'25, WebConf'24, ACL'24, KDD'23, CIKM'24, AAAI'23.
- GPA: 4.0/4.0.
B.S. in Computer Science
University of California, Los Angeles (UCLA)- Advisors: Prof. Yizhou Sun, Prof. Wei Wang.
- Published 4 papers at top-tier ML and data mining venues (AAAI, KDD, Web Conference). Continuing collaborator on LLMs and graph neural networks (GNNs) (EMNLP'25, WebConf'23).
- GPA: 3.82/4.0. Dean’s Honor List (5 times).
Patents
- Reliability-Informed Dense Geometry Estimation with Vision-Language Models. Waymo, 2026. Patent pending.
- Hierarchical Agentic Framework for Multi-Page Visual Document Understanding. J.P. Morgan AI Research, 2025. Patent pending.
Academic Service
Area Chair
- ACL Rolling Review (ARR), October 2026.
- ICLR Tiny Paper Track, 2023 and 2024.
Program Committee & Reviewing
- Conferences: AAAI, ACL ARR, AISTATS, ASONAM, CIKM, COLM, CVPR, ICCV, ICLR, ICML, KDD, LoG, NeurIPS, SDM, and The Web Conference.
- Journals: ACM TOIS, TKDD, TORS, TIST, and TSC; IEEE TKDE and TAI; PLOS ONE; JDSA; SCIENCE CHINA Information Sciences; and DMLR.
- Conference volunteer: NAACL 2025, AAAI 2025, SC 2024, and VLDB 2024.
Skills & Hobbies
Research Areas
Vision-Language & Multimodal Models
World Models, Embodied AI & Spatial Reasoning
LLM Agents & Multi-Agent Systems
Post-training, RL & Self-Improvement
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