Parul is a Senior Production Engineer at Meta, working on the Python Foundation team to accelerate the AI development lifecycle. An alum of UMass Amherst, she is a technical speaker and an early contributor to the open-source FairLearn library, which helps mitigate bias in AI systems.
Outside of her work at Meta, Parul is a passionate advocate for bridging the gender gap in technology. She frequently speaks at conferences and mentors aspiring technologists to help them build careers in computer science. In her free time, she enjoys dancing, painting, and traveling.
She has given over nine talks at major tech conferences, including PyBay, JupyterCon, and the Women in Tech Global Conference.
Read the full overview →It is quite likely of them to ask for pricing or other concessions. 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.
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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