Citadel LLC Quantitative Development Intern
Worked on natural gas risk valuation and deal booking systems using Python, C++, Celery, Redis, Kubernetes, Plotly, and Ag-Grid.
Experience:
Amazon Web Services Software Development Engineer Intern
Built machine learning pipelines and retrieval tools for quantum computing research workflows using AWS Bedrock, Prefect, PostgreSQL, SQLAlchemy, GraphQL, FastMCP, Docker, and Lambda.
Education:
University of Pennsylvania
M.S. Physics, Submatriculant (Joint B.A./M.S.)B.A. Physics, Conc. in Computational TechniquesB.S.E. Computer ScienceMinor in Mathematics
GPA: 3.94 / 4.00
Vagelos Integrated Program in Energy Research
Languages:
Python, C, C++, FORTRAN, SQL
Libraries:
PyTorch, TensorFlow, scikit-learn, NumPy, SciPy, Pandas, Matplotlib, Plotly, FastAPI, SQLAlchemy, Prefect, Celery, FastMCP, LangChain, Pybind11, Numba
Tools:
Git, Docker, PostgreSQL, Slurm, Kubernetes, Jupyter, Redis, CUDA, GraphQL, AWS