Khushboo Shrivastava
About Khushboo Shrivastava
Khushboo Shrivastava is the Co-Founder and CEO of Coulomb AI, where she focuses on enhancing battery performance and lifespan through innovative software solutions. With a background in engineering and experience at General Motors, she has contributed to advancements in autonomous driving, electrification, and mobility.
Work at Coulomb AI
Khushboo Shrivastava serves as the Co-Founder and CEO of Coulomb AI, a position she has held since 2021. Based in Bengaluru, Karnataka, she focuses on leveraging technology to enhance battery performance and address challenges in electromobility. Under her leadership, Coulomb AI develops battery intelligence software and algorithms aimed at improving battery life and predicting performance over time. The company emphasizes delivering value throughout the battery lifecycle, including development, operations, and second life applications.
Previous Experience at General Motors
Prior to her role at Coulomb AI, Khushboo Shrivastava worked at General Motors in various engineering capacities. She began her tenure as a Senior Engineer in 2014, where she contributed for one year in the Bengaluru Area, India. She later transitioned to a Powertrain Engineer role for seven months in 2016, followed by a four-year stint as a Data Scientist until 2020. Her work at General Motors involved innovative projects in autonomous driving, electrification, and connectivity.
Education and Expertise
Khushboo Shrivastava holds a degree in Mechanical Engineering from the Indian Institute of Technology, Bombay. She furthered her education by participating in Y Combinator, achieving YC S21 in 2021. This program provided her with insights and skills that have been instrumental in her entrepreneurial journey and her focus on advancements in vehicles, transport, and mobility.
Focus on Electromobility and Battery Intelligence
In her professional endeavors, Khushboo Shrivastava concentrates on improving the lives of people through advancements in electromobility. She develops predictive battery diagnostics algorithms that significantly enhance battery life and performance. Her work addresses critical challenges in the field by creating solutions that optimize battery usage and longevity, contributing to the broader goals of sustainable transport and mobility.