Ashutosh Upadhye
About Ashutosh Upadhye
Ashutosh Upadhye is a Software Engineer currently working at Ridecell in the San Francisco Bay Area, where he has contributed to significant improvements in platform functionality and security. He has a Master's degree in Computer Science from The University of Texas at Arlington and has previously worked at Delta Dental of Michigan.
Work at Ridecell
Ashutosh Upadhye has been employed as a Software Engineer at Ridecell since 2022, contributing to various projects aimed at enhancing the platform's functionality and security. He successfully onboarded 600,000 users from Toyota Canada by implementing bulk upload APIs. His work includes the development of Graph-QL APIs for rental services, which improved app responsiveness and scalability. He also refactored backend services related to rentals, Stripe payments, refunds, and credit systems. Additionally, he has bolstered the security of REST APIs by integrating OAuth 2.0 and Key Cloak, and implemented JWT token blacklisting for the Golang AUTH microservice.
Previous Experience at Delta Dental of Michigan
Prior to his role at Ridecell, Ashutosh Upadhye worked at Delta Dental of Michigan as a Software Engineer from 2019 to 2021. During his tenure, he reduced customer registration time by 50% through the integration of third-party ID/License verification, KYC, and background check APIs. He also held a position as an Application Software Developer at Delta Dental for a brief period in 2018, where he contributed to software development projects in the Lansing, Michigan area.
Education and Expertise
Ashutosh Upadhye holds a Master's degree in Computer Science from The University of Texas at Arlington, where he studied from 2017 to 2019. He also earned a Bachelor of Technology in Computer Engineering from Dharmsinh Desai University, completing his studies from 2013 to 2017. His educational background provides a strong foundation in software engineering principles and practices, which he applies in his professional roles.
Technical Contributions and Achievements
Throughout his career, Ashutosh Upadhye has made significant technical contributions. He authored REST API specifications in Swagger using Open API 3.0 and YAML. His optimization efforts led to an 80% reduction in latency for rendering vehicles within a local radius by improving ORM queries in the Ridecell platform REST APIs. He also enhanced revenue and utilization rates by up to 15% through dynamic pricing optimization and revisions to pricing engine APIs. Additionally, he implemented webhooks, Quartz, Amazon SQS/SNS, and Redis cache to streamline background check processes.