Experience Amazon.com Services LLC, New York, USA Applied Scientist Intern • July 2026 to November 2026 (Incoming) ByteDance Inc., Seattle, USA Machine Learning Researcher Intern • April 2026 to July 2026 (Incoming) MBZUAI - Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE Visting Scholar • October 2025 to January 2026 Faculty Host: Prof. Steve Liu, Associate Vice President of Research and Professor of Computer Science and Machine Learning. RBC Borealis, Toronto, Canada Machine Learning Researcher Intern • May 2025 to October 2025 Proposed and worked for the embedding base context aware reranker project. By integrating rerankers, RAG systems can strike a better balance between speed and precision, leading to more reliable and efficient outputs in various applications. Proposed a novel agentic workflow for query-focused table summarization in a fast, accurate, and privacy-compliant manner. This work is part of the RBC Borealis ML Research program. 🔥 More interesting works will be released soon! Advisor: Dr. Mohammad Amin Shabani, Dr. Siqi Liu, and Dr. Jiawei (Eric) He. Alexandria Team, Microsoft Research, London, UK MSR x Mila Student Researcher • March 2023 to May 2025 Proposed a multi-stage architecture for extracting structured kowledge from plain texts with LLMs. Proposed a new metric tailored for structured entity extraction. Proposed a diffusion-based model for entity linking purpose. This collaboration is supported by MSR-Mila Research Grant. 🔥 More interesting works will be released soon! Advisor: Dr. Bhaskar Mitra. Collaborators: Dr. James Hensman, Liana Mikaelyan, Pavel Myshkov, Dr. Alexander Meulemans (during his internship), Dr. Jan Tönshoff (during his internship), Dr. Taketomo Isazawa, and Dr. Tom Minka. Samsung Research America, Mountain View, USA Reseasrch Assistant • January 2025 to May 2025 Academic research collaboration between McGill and Samsung Research for leveraging LLMs in communications scenarios. 🔥 More interesting works will be released soon! This collaboration is supported by Samsung Global Research Outreach program. Collaborators: Dr. Hao Chen, Dr. Yan Xin, and Dr. Jianzhong (Charlie) Zhang. Noah's Ark Lab Canada , Montreal, Canada Associate Researcher Intern • April 2023 to March 2025 Adapted the soft prompting to distribution shifts and empowered one model for multiple scenarios. Explored model compression ideas like LoRA-pruning and Mixture of Depth model to save calculations. Took strategy insights into cutting-edge LLM methods and techniques from leading unicorn startups. Advisor: Xi (Alex) Chen. Mila-Quebec AI Insititute, Montreal, Canada Mentor • May 2024 to December 2024; May 2025 to December 2025 Supervised Master of Science students for their internships projects at Deep River and Bell Canada. Provided guidance for entity-linking, fine-tuning, knowledge distillation, and RAG for LLMs. Offered supervision for document extraction, named entity extraction, and coreference resolution.