AI code evaluator and model alignment contributor
I evaluated AI-generated code for optimization, time/space complexity, and edge-case handling as part of improving intelligent code generation systems. This work involved structured judgment of code correctness, efficiency, and alignment with user intent. The process required critical analysis of algorithmic solutions and iterative feedback to refine model outputs. • Assessed AI-generated computer code for logical correctness and optimal performance. • Provided detailed feedback on code handling of edge cases and time/space complexity. • Leveraged prompt engineering and local LLM deployment for in-depth AI model testing. • Contributed to the training and alignment of large language models in code-related tasks.