• Orchestrated and maintained CI/CD pipelines using Github Actions, enabling automated software delivery and efficient release management for the backend services.• Developed RESTful APIs using Go and Mux, integrating various third-party services such as Shopify via GraphQL, Woocommerce, Google Analytics (UA and GA4), and Shiprocket to enhance data synchronization and functionality.• Designed and implemented database models using MySQL, and MongoDB, ensuring efficient data storage and retrieval for the platform.• Led the development and customization of backend systems for onboarding sellers, including catalog management authentication, inventory management, and order processing, resulting in streamlined workflows and improved business value.• Set up MongoDB replicas for enhanced data reliability and availability.• Implemented robust cloud backup strategies, ensuring data integrity and disaster recovery capabilities.• Integrated Courier Partner Aggregator Service, optimizing shipping processes by integrating with multiple courier partners’ APIs and improving operational efficiency.

• Innovated a backend-driven UI approach, leveraging Node.js and React.js, to streamline frontend development by allowing no-code integration of new data sources without rewriting the UI code.• Optimized frontend development processes, resulting in 80% faster turnaround times and a more streamlined user interface by implementing JSON based UI rendering using React.js.

• Spearheaded the Full Stack Dev with a team of seven people using Next.js and Firebase.• Introduced Server Side Rendering and PWA features with serverless support of email & notification using cloud functions.

• Lead a cross-platform app with a team of four people using React Native.• Formulated a back-end with Firebase to decrease the overall time complexity of querying data into Firestore by 30% .• Overcame authentication edge case problems which increased the platform effectiveness by 20%.

• Authored and contributed 14 articles and 4 Improvements on Algorithms andData Structures

• Analysed 100% of voice corpuses and the voice data.• Directed a solution for cleaning the voice data for further processing and hence accelerated the efficiency of team by 22%.• Introduced heteronyms-based accent manipulation in their NLP model thereby increasing the overall accuracy by 4%.