| Jun 18, 2026 | Excited to share our new preprint “AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA” (with Shaina Raza), currently under review. AgentFinVQA achieves +7.68 pp over zero-shot baselines on FinMME while maintaining full auditability and on-premise deployability. Check it out on arXiv! |
| Jun 15, 2026 | Serving as Technical Lead for the Machine Learning Applications (MLA) Program hosted by the Vector Institute for sponsor companies, delivering applied ML curriculum and technical mentorship. |
| Jun 01, 2026 | Serving as Technical Lead for the Interpretability in LLMs and Agents Bootcamp organized by the Vector Institute for sponsor companies, covering mechanistic interpretability, explainability tools, and agentic AI diagnostics. |
| May 31, 2026 | | Our paper “From Features to Actions: Explainability in Traditional and Agentic AI Systems” has been accepted to the Future Technologies Conference (FTC) 2026! This work compares attribution-based explanations with trace-based diagnostics across static and agentic AI settings. arXiv | Project Page | |
| Feb 28, 2025 | | Our paper “VLDBench: Evaluating Multimodal Disinformation with Regulatory Alignment” has been accepted at Information Fusion (Elsevier)! VLDBench is a 62K-sample benchmark for multimodal disinformation detection across 13 categories, curated from 58 news outlets and aligned with AI governance frameworks. Paper | Project | |
| Jan 14, 2025 | Currently working as an Applied AI Intern at the Vector Institute since Jan 2025, where I’m developing evaluation frameworks for multimodal large language models. |
| Jul 22, 2024 | Presenting a poster at the 2024 Toronto Robotics Conference!   |
| May 01, 2024 | Started as a Research Assistant at the Laboratory for Applied Informatics Research (LAIR) working with Prof. Javed Mostafa |
| Apr 15, 2024 | Started as a Computer Vision Intern at the Neural Robotics Lab working with Prof. Brokoslaw Laschowski |