Academic study & self-learning focused on LLM-based code generation/debugging (AI technical task readiness)
Trained and practiced LLM-assisted programming workflows by using LLMs to generate, debug, and iteratively improve code during self-study. Applied prompt engineering and Transformer/LLM fundamentals to understand and complete AI technical tasks. Focused on producing correct outputs aligned to technical requirements and platform-style guidelines. • Used LLMs for code generation and troubleshooting • Iterated on features through prompt-driven refinements • Reviewed and adjusted outputs based on correctness and requirements • Demonstrated self-guided completion of AI technical tasks without a specified commercial dataset