
Software Validation – AI Trainer
Validated and improved AI-generated responses across multiple programming languages, ensuring correctness, reliability, and safety of LLM outputs.
- Reviewed 1,000+ prompts spanning Python, JavaScript, and C++ to validate correctness and improve LLM reliability
- Delivered structured evaluations across 10+ AI models, improving output safety and reducing hallucinations
- Worked with repository-scale tasks, debugging multi-file logic and assessing model reasoning quality








