• Co-organize the College of Computing (CoC) Graduate Welcome Event with over 1,000 attendees, including new students, faculty, and alumni.
• Lead the design and maintenance of the SCSGSA website.
• Promote SCSGSA events, including workshops, networking sessions, and professional development programs.

Research Topics: Large Language Models (WebConf'24, ACL'24), LLM Safety (In preparation for NAACL'25), Multimodal Models (ACL'24), Recommender Systems and Dynamic Graph Mining (KDD'23), Social Network Analysis (CIKM'24, KDD'23), Fair Graph Mining (CIKM'24).

Advisor: Dr. Srijan Kumar

Research Topics: Large Language Models (EMNLP'24, ICML'24, ICML'23, AAAI'23), LLM Agents (EMNLP'24, ICML'24), Scientometric Analysis (In preparation for NAACL'25), Computational Social Science, Misinformation Detection (KDD'22, AAAI'22), Few-shot Learning (ACL'24, AAAI'23), Explainable AI (AAAI'22).

Advisors: Dr. Xiting Wang, Dr. Jindong Wang, and Dr. Xing Xie.

Research Topics: Large Language Models (EMNLP'24), Graph Neural Networks and Data Mining (WWW'23), LLM Fine-tuning (Under Review at KDD'25), Recommender Systems (WWW'23).

Advisors: Dr. Yizhou Sun, Dr. Wei Wang

• Worked in Fulfillment By Amazon (FBA), IAR team
• Designed and implemented IAR Manual Analysis, a scalable and efficient workflow using AWS Step Functions and AWS Lambda. This service automates the aggregation of data points from multiple sources like Amazon S3 and DynamoDB for SageMaker ML model training, handling over 16,000 requests per summary stage;
• Automated the deployment of the workflow across all AWS Realms (EU/FE/NA) through CloudFormation;
• Establish DataCraft pipeline to enable automatic data ingestion from DynamoDB into the Andes dataset catalog, promoting broader internal adoption of these datasets for cross-functional teams and enhancing data accessibility;
• Perform ablation analysis on the inventory reconciliation model, identifying key performance bottlenecks and optimizing model performance

• Worked on the backend services of IBM Cloud.
• Developed Compass DataRouter, a routing service for Compass project based on Golang and MongoDB, reducing memory usage and accelerating data retrieval;
• Enhanced the monitoring dashboard for Compass towards a more intuitive and responsive user interface with React.js.