ExperiencePhD Software Engineer, AI/MLGoogle · Jul 2025 – Present At Google, I work on various machine learning and engineering problems including: time-series logs for anomaly detection, scheduling optimization, and low-latency hierarchical LLM-based document classification. Machine Learning ScientistMicrosoft · Jul 2024 – Jul 2025 I worked on applied and research-oriented language-model systems, including LLM-based knowledge extraction, synthetic-data approaches for intent classification, unsupervised intent-taxonomy discovery, and causal forecasting. Research AssistantOden Institute, UT Austin · Sep 2021 – May 2024 I worked on reinforcement learning and stochastic control research, focusing on continuous-time formulations, Hamiltonian structure, and scientific computing. Research AssistantMathematics Department, UT Austin · Aug 2019 – Apr 2021 I worked on theoretical mathematics including stochastic modeling, diffusion processes, nonlinear PDEs with a focus on the intersection between probability and functional analysis. |