About

Preet Shah is a highly skilled Software Engineer with a focus on developing systems to annotate Google Ads. Currently, he is employed at Google as a Software Engineer in the Ads Traffic Quality Infra team. He is proficient in C++, SQL, Spanner/Bigtable, and data pipelines. In his current role, Preet is responsible for developing and implementing systems to identify spam and non-spam ads. Prior to joining Google, Preet worked as a Teaching Assistant at Northeastern University, where he taught courses on Programming Foundations and Algorithms and Data. He also worked as a Software Development Engineer Intern at Amazon, where he proposed and implemented a design to simulate user workloads and measure compute capacity for the AWS Compute Optimizer team. He utilized Kotlin, Python, and Typescript in this role. Preet holds a Master of Science in Computer Science from Northeastern University and a Bachelor of Technology in Information Technology from Nirma University, Ahmedabad, Gujarat, India. His technical expertise includes Software Engineering, SQL, AWS, infrastructure, Typescript, Python, testing, iOS, Java, and Android. With 2.19 years of relevant experience, Preet is a highly motivated and detail-oriented individual who is passionate about developing innovative solutions to complex problems. He is an excellent communicator and collaborator, with a proven track record of delivering high-quality work on time and within budget.