Key Responsibilities

  • Ensured code quality by evaluating AI-produced code (Python, C, C++, Java) for adherence to best practices
  • Improved the reliability of AI-written code by debugging it with comprehensive test cases
  • Increased the accuracy and completeness of model-generated content through assessment and refinement
  • Enhanced model-generated content by improving its contextual relevance and adapting it for specific tasks

Notable Achievements

  • Achieved over 95% acceptance rate on AI-generated code through meticulous code reviews
  • Improved code output quality by 20% through systematic evaluation and refinement