Rodrigo Fernandes

Rodrigo Fernandes is a data professional with 1.5 years of intensive AI practice who has developed genuinely sophisticated methodology through disciplined experimentation. They build systematic verification frameworks—including a five-step validation process that catches subtle data fabrication by recognizing when outputs are "too smooth." They architect hybrid workflows where AI amplifies analytical capacity while human judgment maintains control, and they've independently discovered advanced techniques like comparative prompting and style drift detection.

These capabilities position Rodrigo to lead AI adoption initiatives, not just participate in them. Their verification discipline and failure-driven learning approach solve the trust problem that blocks most organizations from scaling AI use. Someone who breaks models to understand their boundaries is someone who can teach others to work with AI safely and effectively.