Designing and optimizing data generation pipelines, publishing a paper on the Sato-Tate conjecture in a team of 4. My role involved:
•Developing high-performance algorithms in Python and Java to generate and validate over 700 datasets, crucial for the team's research analysis.
•Optimizing data generation pipelines, improving execution speed by 3x, enabling the team to handle larger datasets.
•Building Python modules with libraries like SciPy to streamline the computation of iterated integrals.
•Owning and maintaining the team’s GitHub repositories, ensuring consistent structure and version control.
•Actively participating in weekly team meetings, providing ideas and insights that drove key decisions in algorithm design and project direction.
