Parag Gupta
About Parag Gupta
Parag Gupta is a Computer Scientist 2 at Adobe, with a background in computer science and extensive experience in security-related data management and automation. He has developed various tools and systems to enhance security and streamline processes within the organization.
Work at Adobe
Parag Gupta currently holds the position of Computer Scientist 2 at Adobe, a role he has occupied since 2022 in the Noida Area, India. Prior to this, he worked at Adobe from 2020 to 2022, where he contributed to various projects. His responsibilities included automation and testing of desktop products such as Photoshop and Bridge, and he served as a Release Engineer on the Adobe Connect project. Gupta developed an exception management tool for security exceptions and created a company-wide automated ticketing and reporting system utilizing technologies like Splunk and Django.
Education and Expertise
Parag Gupta earned his Bachelor’s Degree in Computer Science from Govind Ballabh Pant Engineering College in Pauri, Uttarakhand, studying from 2007 to 2011. Prior to this, he completed his 12th grade education at Government Inter College Bijnor, where he studied Science from 2001 to 2006. His educational background has equipped him with a strong foundation in computer science principles and practices, which he applies in his professional work, particularly in security-related projects.
Background
Parag Gupta has a background in computer science with a focus on security and automation. He has experience working with various systems, including AWS, Azure, and Kubernetes. His work involves data analysis and the development of tools to enhance security measures within Adobe's products. Gupta's experience spans multiple technologies, including Python, Oracle, and SQL, which he utilizes in his current role and previous projects.
Achievements
During his time at Adobe, Parag Gupta developed the first Security Debt Dashboard using Power BI, which aids in tracking security-related metrics. He also architected and implemented an end-to-end pipeline for security-related data ingestion, employing tools such as Databricks and PySpark. Additionally, Gupta contributed to the development of image factory hardeners and an end-to-end pipeline for producing hardened security images, showcasing his ability to enhance security protocols within software development.