training-data
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Manu Sharma
Manu Sharma is the CEO and Co-founder of Labelbox, the leading AI data infrastructure platform that powers training data pipelines for frontier AI models. Born in Roorkee, India, he studied aerospace engineering at Embry-Riddle and Stanford before building CoPilot at DroneDeploy and leading data analytics at Planet Labs. In 2018, he co-founded Labelbox with former colleagues Brian Rieger and Daniel Rasmuson, raising $188.9M through a Series D led by SoftBank Vision Fund 2. Labelbox now serves as the command center for AI teams building and scaling production machine learning systems, from annotation and RLHF to evals and synthetic data generation.
Paroma Varma
Paroma Varma is a co-founder and Head of Solutions at Snorkel AI, the $1.3B data-centric AI platform she helped build from a Stanford AI Lab research project into a unicorn serving Fortune 500 enterprises. Holding a Ph.D. in Electrical Engineering from Stanford, she pioneered weak supervision techniques that reduce AI training data preparation from months to days, enabling domain experts in healthcare, finance, and government to build state-of-the-art ML models without massive labeled datasets.
Wendy Gonzalez
Wendy Gonzalez is the CEO of Sama, a mission-driven AI data annotation and model evaluation company that employs thousands of workers in East Africa. She joined Sama in 2015, rose through the ranks as COO and President, and assumed the CEO role in 2020 following the passing of founder Leila Janah. Under her leadership, Sama closed a $70M Series B - at the time the largest funding round for a woman-led AI infrastructure company - achieved Forbes AI 50 recognition, and scaled to over 3,000 employees while maintaining its B Corp certification and social mission of lifting people out of poverty through dignified work in the AI economy.