Rahul Gupta
About Rahul Gupta
Rahul Gupta is the Director of Engineering at Adobe, where he leads the development of a machine learning cloud platform. He has extensive experience in engineering management and has worked at Adobe in various roles since 1999.
Current Role at Adobe
Rahul Gupta serves as the Director of Engineering at Adobe, a position he has held since 2022. In this role, he leads the development of a self-served Machine Learning cloud platform that encompasses the entire MLOps life cycle. This includes responsibilities for dataset management, feature extraction, training, model management, and ML serving capabilities. His leadership focuses on enhancing operational efficiency and governance policies within the platform.
Previous Experience at Adobe
Prior to his current role, Rahul Gupta held various positions at Adobe over a span of 12 years. He worked as an Engineering Manager, Development & Research from 2006 to 2011, and later as a Senior Engineering Manager in the same department from 2011 to 2016. He returned to the role of Senior Engineering Manager from 2016 to 2022, where he managed the delivery of SaaS and PaaS workflows for a multi-tenant and vendor-neutral clustered compute platform. Additionally, he worked as a Computer Scientist at Adobe Systems from 1999 to 2005.
Education and Expertise
Rahul Gupta earned his Bachelor of Technology (BTech) in Computer Science and Aerospace Engineering from the Indian Institute of Technology, Kharagpur, from 1993 to 1997. He furthered his education at the University of California, Berkeley, Haas School of Business, where he completed the Certificate of Business Excellence and the Berkeley Executive Program in Management between 2019 and 2022. His expertise includes multi-cloud abstractions for infrastructure provisioning, CI/CD technologies, and Chaos Engineering.
Collaborative Initiatives
In his current and previous roles, Rahul Gupta has focused on collaboration across geographical locations with partners, stakeholders, and customers. His efforts aim to simplify developer onboarding experiences and deliver shared runtimes. He also works on integrating various platforms, such as identity management and API gateways, into the Adobe service ecosystem, enhancing the overall functionality and user experience.
Focus on AI Ethics and Operational Efficiency
Rahul Gupta drives the implementation of AI Ethics tools and algorithms, concentrating on bias analysis and explainability. He emphasizes operational efficiency through structured key initiatives and policy frameworks, which enhance governance policies within the Machine Learning cloud platform he oversees.