Freelance Front-End Developer & AI Data Consultant (AI model training, SFT dataset engineering, and evaluation)
Engineered prompt-response validation datasets to support supervised fine-tuning and model comprehension benchmarking for LLMs in web-framework contexts. Authored and applied strict compliance criteria to judge model outputs for correctness, safety, and adherence to formatting and instructions. Produced human-grounded target code and corrective training fixes to resolve logic and syntax failures observed in model-generated responses. • Created structured prompt-response datasets for SFT workflows. • Benchmarked LLM behavior on framework state-management and script optimization tasks. • Isolated and corrected compiler faults, logic loops, and syntax bugs in generated code. • Generated analytical validation justifications for training revisions and rejected outputs.