About

I am a Staff Machine Learning Researcher at Meta, where I focus on large-scale AI architectures and Recommendation Systems. While my core work centers on the research and engineering challenges of modern recommendation systems, LLMs, and the intersection between them, I am driven by a long-term fascination with how computational models can eventually mirror the robustness and efficiency of biological systems.

My technical expertise spans Machine Learning, Robotics, Computer Vision, and the future of AI architectures. I am fascinated by how we can translate biological intelligence into computational models that solve complex, real-world problems.

Beyond the technical realm, I am passionate about Astronomy and Photography. When I’m not training models or exploring new architectures, you can find me hiking, reading, or expanding my collection of international currencies from around the world. I am also an avid foodie and enjoy exploring new culinary experiences.