LLM Training
* Evaluated and validated AI-generated code, architectures, and implementation steps by executing applications locally, identifying errors, inconsistencies, and edge cases, and guiding corrective iterations * Provided precise, context-rich technical instructions to an AI system, leveraging prior full-stack experience to guide models behavior and improve output quality * Ensured high-quality outcomes by reviewing AI-generated logic, flows, and integrations with strong attention to detail, validating functional correctness rather than accepting outputs at face value