I have a background in Electrical and Electronic Engineering and professional experience building and deploying computer vision and multimodal models.

With the recent advancements in state-of-the-art multimodal AI, I am passionate about building real-world systems that are not only accurate but also fundamentally reliable and fair with explainable reasoning capabilities.

My work focuses on the critical challenges of fairness, generalization, and reasoning and test time training of multimodal models, particularly in high-stakes applications like healthcare, autonomous vehicles etc.