R1: Experiments Platform, Growth

R2: Analytics, Core

Researched LLMs' carbon emissions with mentors from the Distributed and Operating Systems Lab.

Our paper got accepted to the PECS Workshop at Euro-Par 2025!

Developed problem-set content, graded assessments, and held weekly office hours.

• CS351 Formal Methods for Analysis and Decision-Making (master's level)

• CS130 Statistical Modeling: Prediction and Causal Inference (undergraduate level)

• CS113 Linear Algebra (undergraduate level)

• CS111 Single & Multivariable Calculus (undergraduate level)

Built AI-powered apps and dashboards with Python, TypeScript, Power BI, Snowflake, and Azure.

Led research and implementation to detect distribution drift in nPlan's machine learning models.