
Strategic AI Specialist and Educator with a proven track record at Scale AI in engineering adversarial prompts and curating high-quality datasets to enhance model accuracy. Combines technical expertise in model evaluation and fine-tuning with a background in chemistry instruction to drive measurable student success. Recognized for delivering precise technical writing and adaptive learning strategies that simplify complex scientific concepts for diverse international audiences.
Engineered complex adversarial prompts to uncover model weaknesses, evaluated outputs using precise grading rubrics, and directly boosted performance by crafting high-quality 'gold standard' corrections for supervised fine-tuning (SFT).
Improved student performance by using simplified, structured lesson plans and providing customized feedback with strategic interventions to boost academic results.
Provided high-level academic support to international students by delivering clear, step-by-step solutions for advanced chemistry problems, ensuring technical accuracy and clarity for learners of all backgrounds