Kushal Singh
About Kushal Singh
Kushal Singh is a Solutions Engineer at Labelbox in San Francisco, California, where he has worked since 2023. He has a background in computer science with a Master's degree from Cornell University and has held various engineering and research roles, including positions at C3 AI and NASA Ames Research Center.
Work at Labelbox
Kushal Singh has been employed at Labelbox as a Solutions Engineer since 2023. In this role, he assists strategic clients in building and scaling Predictive and Generative AI applications. His contributions include championing the use of model distillation techniques tailored for industry-specific AI applications. Singh's work focuses on enhancing data-centric AI operations, which is critical for the company's mission to streamline and improve AI model development.
Previous Experience
Before joining Labelbox, Kushal Singh worked at C3 AI as a Forward Deployed Solutions Engineer from 2020 to 2023. His earlier experience includes internships at ServiceNow in 2018 and NASA Ames Research Center in 2015. Additionally, he served as a Researcher at Berkeley RISE Lab from 2018 to 2019. Throughout these roles, he contributed to various projects, including the creation of collateral for leading NLP and CV teams at major companies such as ExxonMobil, Netflix, and Walmart.
Education and Expertise
Kushal Singh holds a Master's degree in Computer Science from Cornell University, where he studied from 2019 to 2020. He also earned a Bachelor's degree in Computer Science from the University of California, Berkeley, completing his studies from 2016 to 2019. Singh graduated from Archbishop Mitty High School with a High School Diploma in 2016. His educational background provides a strong foundation for his expertise in AI applications and data-centric technologies.
Research and Contributions
During his tenure at Berkeley RISE Lab, Kushal Singh focused on advocating for best practices in model fine-tuning and retrieval augmented generation systems. His research efforts aimed at improving AI applications across diverse industries. Singh's contributions to the field of AI also include assisting in the development of strategies for enhancing data-centric operations, which are essential for effective AI implementation in various sectors.