Rajat Gupta

Cart Management System

• Architected and scaled Blinkit's high-throughput Cart Service, optimizing APIs, data models, and integrations to reduce latency and ensure a seamless cart and checkout experience for users

• Team - Catalogue Management System (CMS) Overview: A comprehensive platform enabling sellers to efficiently upload and manage all product data. The system powers live traffic for product display on the platform and integrates a seller prioritization engine to prioritize seller visibility and product rankings.
• Enhanced CMS to a scalable microservices-based platform for seller product management and live traffic optimization
• Deployed and managed services on Azure with Kubernetes, ensuring high availability, scalability, and efficient resource utilization
• Developed event-driven workflows using Kafka and RabbitMQ for asynchronous processing and real-time catalogue updates
• Led key features including 3D Image Integration and Virtual Try-On, significantly improving user engagement
• Designed and optimized databases (MySQL, Redis, MongoDB, Solr) for high-traffic use cases, reducing latency and improving query performance
• Delivered high-impact projects including BIS compliance, Rejection Workflow, Ubuntu migration, and Redis upgrades, enhancing system performance and operational efficiency
• Incorporated security best practices, including secure APIs, authentication/authorization mechanisms, and data protection across services
• Utilized Linux (Ubuntu) environments for deployment, debugging, and performance tuning of distributed systems

Team – MOJO Finance
Overview: Platform to streamline core finance operations including sales/purchase accounting, invoicing, and TDS statement generation across multiple LOBs.

• Developed an automated system for TDS statement generation, sales & purchase workflows, and invoice management, improving efficiency and reducing manual effort
• Deployed and managed services in Kubernetes-based environments, enabling better scalability and reliability across LOBs
• Worked extensively in Linux (Ubuntu) environments for application deployment, debugging, and performance tuning
• Contributed to building scalable backend services supporting multiple brands with optimized data processing

Team – RALFI (Rating and Limit for Financial Institutions)
Overview: Application developed for the Credit and Risk division of the bank to streamline evaluation and reporting processes.

• Developed multiple end-to-end features, including lending report history APIs, improving credit and risk evaluation workflows

Team – NSCAT (Natural Static Code Analysis Tool)
Overview: R&D initiative to build a code analysis tool supporting multiple languages.

• Led R&D project for static code analysis supporting NATURAL and Python, enhancing code quality and maintainability
• Implemented tool features end-to-end, improving developer productivity and reducing production defects