California Institute of Technology (Caltech)
Applied and Computational Mathematics B.S. (GPA: 4.1)
Relevant Courses: Probability, Statistical Inference, Environmental Economics, Machine Learning

Head Teaching Assistant
Caltech, Computing and Mathematical Sciences

• Directed a team of five, aligning weekly responsibilities and ensuring consistent execution of tasks
• Designed and implemented a scheduling system that maximized student access and TA coverage
• Acted as the primary liaison between students, TAs, and the course instructor

Researcher – Numerical Methods and Numerical Analysis
Caltech, Prof. Oscar Bruno

• Developed a PDE solver using the rectangular-polar method
• Extended solver framework to more general PDEs for broader applicability
• Reduced computation time by ~50% through profiling and optimization

Researcher – Computer Vision
Caltech, Dr. Ashish Mahabal

• Assessed contrast tuning effects on zero-shot segmentation performance
• Benchmarked coordinate vs. unprompted prompting modes to identify optimal use
• Tuned hyperparameters to double segmentation accuracy in real-world settings

Operations Coordinator
Satcom Technologies Ltd

• Prepared and processed documents for the National Institute for Scientific and Industrial Research
• Managed inventory for over $50,000 worth of equipment
• Coordinated transport for staff and equipment to field sites under tight deadlines

Student–Faculty Conference Co-chair
Caltech, Applied and Computational Mathematics

• Liaised between faculty and students to align degree objectives with student needs
• Analyzed peer program data to identify structural differences in ACM degree
• Presented findings to faculty and peers, proposing actionable improvements