Conference on Empirical Methods in Natural Language Processing · 2024
Cited
4
Resume (English only)
Research Experience
1. ML Research Engineer Intern @ Scale AI (May 2025 - Present), San Francisco, CA. Systems optimizations for distributed online RL training of LLMs / Test-time scaling laws for online RL.
2. ML Research Intern, Multimodal @ Carnegie Mellon University (Sep. 2024 - May 2025), Pittsburgh, PA. Post-training VLMs for tool-use and multimodal CoT reasoning / Inference-time algorithms for long-form video reasoning.
3. SDE Intern @ Amazon Web Services (Jul. 2024 - Aug. 2024), Vancouver, CAN. ML for anomaly detection for denial-of-service attacks.
4. Research Intern, LLMs @ University of Toronto (Sep. 2023 - Apr. 2024), Toronto, CAN. Inference-time search algorithms for LLM reasoning. LLMs for reasoning over knowledge graphs.
Education
1. Carnegie Mellon University, Master's in Machine Learning, Advisor: Ruslan Salakhutdinov, Focus: VLM reasoning.
2. University of Toronto, Machine Intelligence, Advisor: Scott Sanner, Focus: LLM logical reasoning and knowledge-graph-augmented LLMs.
Background
Master's in Machine Learning, with research interests including VLM reasoning, LLM logical reasoning, and knowledge-graph-augmented LLMs.