I am a machine learning engineer with a strong research background and experience building, scaling, and managing teams of data scientists and MLEs. Research Expertise: I earned my Ph.D. in AI with a focus in causal inference under the guidance of Turing Laureate, Judea Pearl, at UCLA. After that, I joined IBM Research where I continued my work in causal inference while also expanding into deep learning models, including those for natural language processing. As an AI researcher, I published over 20 papers in leading conferences such as NeurIPS, ICML, IJCAI, AAAI, and UAI, and accumulated nearly 2000 citations. Additionally, I mentored several graduate students, guiding them to nearly 10 publications at top tier AI conferences. Industry Experience & Leadership: Leaving the research world, I transitioned to Brex, where I served as the technical lead for the Data Products team, which was responsible for building AI solutions for product applications, and the founding manager of the Credit Science team. Under my leadership, the team grew from two to nine, and we set and executed the vision for automated underwriting at Brex. I am currently a staff machine learning engineer at Slope, where I report directly to the CEO, and lead projects developing scalable AI and data-driven solutions for complex financial problems.