Nithin Vangala

Nithin Vangala is a Data Science Intern with 3 years of AI tool experience who builds systems, not just prompts. He maintains documented prompt databases with usage templates, designs custom AI instructions enforcing plan-before-code methodology, and has developed verification workflows that catch errors others miss—like identifying faulty grading scales through systematic sanity checks.

These capabilities position him to lead AI adoption beyond personal productivity. His teaching track record—successfully training peers in structured prompting principles—combined with high learning velocity (recently diving into LLM architecture and adversarial prompt engineering) suggests someone building toward organizational-scale AI implementation.

His exploration of AI safety research through adversarial prompting hints at technical depth worth exploring further.