
During March 2025, contributed to the sympy/sympy repository by implementing PyTorch support for symbolic mathematics workflows. Developed PyTorch Lambdify functionality and a TorchPrinter to enable automatic generation of PyTorch code from SymPy expressions, streamlining machine learning integration. Refactored existing PyTorch printing logic and tests, introduced new CI and test scripts, and reorganized packaging to ensure reproducibility in continuous integration environments. Focused on code quality by improving linting, removing obsolete code, and enhancing dependency management. Utilized Python, YAML, and Shell scripting to strengthen test governance and maintainability, supporting robust ML-oriented development and release management within the SymPy ecosystem.
March 2025 performance summary focusing on delivering PyTorch support in SymPy and strengthening test/packaging infrastructure to accelerate ML-oriented workflows.
March 2025 performance summary focusing on delivering PyTorch support in SymPy and strengthening test/packaging infrastructure to accelerate ML-oriented workflows.

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