I've led large-scale LLM training and calibration initiatives at Turing, including work on Amazon Nova, Tencent Hunyuan T1, and Alibaba Qwen models. I create golden samples and tasks, optimize prompts, curate datasets, and evaluate outputs for accuracy, safety, relevance, coherence, and instruction-following.
As a Team Lead in Calibration, I've mentored AI trainers and managed teams of more than 100 trainers and 400 domain experts. My work supports supervised fine-tuning and complex instruction-following benchmarks, including tasks informed by CFBench.
Before AI training, I led content initiatives for Stackviv AI and created SEO-focused blogs, case studies, and whitepapers for global audiences. I've also produced B2B technology content, product marketing copy, email campaigns, technical articles, and website content across remote and freelance roles.
I bring more than eight years of experience combining research-backed writing, SEO, analytics, content strategy, and practical AI tools to make complex technology clear and useful.
