About
Hello! I am a recent PhD in computer science specializing in machine learning, recommendation systems and NLP (natural language processing). My research interests lie at the intersection of recommendation systems, generative AI, Agentic AI,and responsible AI, with a focus on robustness, trust, and reliability.
I am currently working as a GenAI and Agentic AI Technical Specialist at the Vector Institute, focusing on prototyping and implementing proof-of-concept (PoC). Previously, I worked at Amazon as an applied scientist intern, where I contributed to the development of evaluation methods for a RAG system, with an emphasis on improving system reliability. Before that, as an Applied ML Intern at the Vector Institute, I worked on multimodal news annotation and bias benchmarking using LLMs and VLMs.
I have over five years of teaching experience across undergraduate and graduate courses in computer science, physics, and business. My research has appeared in leading venues, including ACM Computing Surveys. I am passionate about AI innovation, with a focus on robustness and responsible AI.
