
Atefeh Sohrabizadeh developed a Software Engineering Patch and Test Generation Sandbox API for the NVIDIA-NeMo/Gym repository, focusing on accelerating research and experimentation in software engineering tasks. She designed a sandboxed environment that enables single-step patch generation, test creation, and model evaluation, all orchestrated through a FastAPI service written in Python. Her work included a comprehensive README detailing input schemas and usage, supporting reproducibility and reducing setup time for software engineering experiments. By integrating testing and machine learning concepts, Atefeh laid the foundation for automated evaluation pipelines, demonstrating depth in both backend API development and research-oriented software engineering workflows.

Month: 2026-01 Summary: Delivered a Software Engineering Patch and Test Generation Sandbox API for NVIDIA-NeMo/Gym to accelerate research and experimentation in software engineering tasks. Implemented a sandboxed environment enabling single-step patch generation, test generation, and model evaluation, accompanied by a FastAPI service to handle generation requests and a README detailing input schemas and usage. This work improves reproducibility, reduces setup time for SWE experiments, and lays the groundwork for automated evaluation pipelines.
Month: 2026-01 Summary: Delivered a Software Engineering Patch and Test Generation Sandbox API for NVIDIA-NeMo/Gym to accelerate research and experimentation in software engineering tasks. Implemented a sandboxed environment enabling single-step patch generation, test generation, and model evaluation, accompanied by a FastAPI service to handle generation requests and a README detailing input schemas and usage. This work improves reproducibility, reduces setup time for SWE experiments, and lays the groundwork for automated evaluation pipelines.
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