Piyush Sahu
About Piyush Sahu
Piyush Sahu is an R&D Team Lead at Toluna, where he has worked since 2023. He has extensive experience in software development and system architecture, having held various technical roles in companies such as Cardlytics, CDK Global, and CarWale.
Current Role at Toluna
Piyush Sahu currently serves as the R&D Team Lead at Toluna, a position he has held since 2023. His role involves leading research and development initiatives within the company, focusing on innovative solutions and system enhancements. Toluna operates in a remote work environment, allowing for flexibility in collaboration and project management.
Previous Experience at Cardlytics
Prior to his current role, Piyush Sahu worked at Cardlytics as a Software Development Engineer (SDE 3) from 2021 to 2022. During his 11-month tenure in India, he contributed to software development projects, applying his technical skills in a dynamic environment.
Background in Technical Roles
Piyush Sahu has a diverse background in technical roles across various companies. He worked as a Senior Member Technical at CDK Global from 2019 to 2021 and held multiple positions at CarWale, including SDE 1 and SDE 2, from 2015 to 2019. His experience spans over several years in the e-commerce, fintech, adTech, and automobile IT industries.
Education and Technical Expertise
Piyush Sahu earned a Bachelor of Technology (B.Tech.) in Computer Science from Maulana Azad National Institute of Technology, studying from 2010 to 2014. He possesses expertise in designing both high-level and low-level system architectures and is proficient in using messaging queues such as Kafka, RabbitMQ, and Redis. His skills extend to programming languages and frameworks, including C#, ASP.NET MVC, and .Net Core.
Database Management Skills
Piyush Sahu has experience working with both relational and non-relational databases, enhancing data management capabilities in his projects. His background in various domains has equipped him with the skills necessary to build scalable systems and manage complex data structures effectively.