Farhan Khan

I am a doctorate-educated professional who bridges AI model evaluation with analytical chemistry, focused on creating realistic chemical scenarios to train and assess state-of-the-art systems. I combine deep domain knowledge in chemistry and computer science with rigorous analytical skills to deliver high-quality, domain-specific feedback for model training.

In my current role as an AI Data Evaluator and Annotator, I design complex real-world testing scenarios, perform highly technical annotation (for example, Atlas Capture), and independently manage strict labeling guidelines and quality standards in remote workflows. My prior laboratory experience as an analytical chemist involved rigorous experimentation and interpretation of complex chemical datasets.

I also bring editorial and technical writing strengths, with over three years producing precise technical content that adheres to exacting stylistic and quality requirements. I am driven to apply multidisciplinary expertise to improve AI model performance and ensure data integrity in scientific applications.