SWE (LLM)
Contributed to a large-scale evaluation pipeline focused on validating and improving code generated by large language models. The project scope covered reviewing model-produced implementations across diverse programming scenarios, designing structured test strategies, and enforcing production-level quality standards. Responsibilities included detecting logical flaws, edge-case failures, and performance inefficiencies, followed by systematic debugging and refactoring to ensure correctness, readability, and maintainability. Work emphasized deterministic behavior, standards compliance, and reliability under varied inputs. Developed and applied repeatable validation workflows to stress-test generated solutions, improving consistency and execution safety. Collaborated within a feedback-driven evaluation framework to surface failure patterns and support iterative quality improvements in model outputs.