Anjali Sharma
Questioner · DISC type cAnjali Sharma is a B. Tech student at Indira Gandhi Delhi Technical University for Women, specializing in AI and research. An IEEE-published author on deepfake detection, she has interned at DRDO, focusing on Agentic AI systems and their application to real-world problems like womens health.
Outside of her core tech focus, Anjali balances her analytical skills with a strong creative side, describing herself as a "tech girlie" with an "art girliee" side quest. She is the Tech Head for her universitys creative society, has won awards for digital illustration, and enjoys binge-watching anime.
She proactively secured her research internship at DRDO by cold-emailing scientists, demonstrating exceptional initiative.
Read the full overview →How Anjali shows up
They are more likely than others to negotiate on pricing and terms. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.
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Calculativeness (C)
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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