Feb 2023 – Oct 2024 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

• At Brane Enterprises, I streamlined manual data processing by introducing a new feature that reduced manual intervention by 95%, significantly enhancing system efficiency within a distributed infrastructure. I engineered a scalable translation microservice, integrated into an ecosystem of 15 microservices, to improve overall system performance. I orchestrated RESTful APIs that handled 50,000 translation requests per day, leveraging SpringBoot to optimize service scalability and reduce latency by 70%. I implemented efficient caching mechanisms using Redis for in-memory caching and MongoDB for persistent storage, achieving a 90% cache hit rate and reducing external API costs by 60%. Additionally, I developed automation scripts to monitor and update the translation cache, further reducing manual intervention by 95%. I also established robust error handling and logging mechanisms, which reduced system downtime by 40%. Throughout this process, I mentored and guided junior engineers, fostering their professional development and enhancing overall team efficiency.

Jul 2022 – Feb 2023 · 7 mos · Hybrid

• Led the cross-platform migration of resources for the Andes functionality, ensuring seamless operation and enhanced debugging capabilities, which contributed to maintaining a system uptime of 99.9%. This migration involved designing a robust data transfer strategy and optimizing system configurations across different platforms.
• Automated degradation detection by implementing alarms on Targeted Selection Framework (TSF) metrics, significantly enhancing the reliability of seller recommendations. This automation completely eliminated manual intervention, leveraging AWS services such as CloudWatch for real-time monitoring and alerting.
• Utilized Amazon EMR clusters, CloudWatch, and AWS Step Functions to monitor and manage job runs, improving overall system stability and efficiency. These AWS resources were integral in creating a scalable, fault-tolerant processing environment for data-intensive tasks.
• Led Project Boomerang, aimed at reclaiming customers lost through Externally Managed Payments (such as Google Play Billing) by addressing in-app purchase restrictions. This project successfully re-engaged users, leading to increased customer retention and revenue.
• Developed backend services using SpringBoot, incorporating advanced caching mechanisms and RESTful API design to optimize performance. These services facilitated a 20-30% increase in user signups and purchases across various global locales by improving response times and enhancing user experience.

Jan 2022 – Jun 2022 · 5 mos · Hybrid

• Engineered a dynamic, ReactJS-based web interface to streamline the process of fetching vendor details, reducing manual effort by an average of 30 minutes per task. This frontend solution utilized advanced state management and component-based architecture to ensure a responsive and intuitive user experience.
• Developed and automated the seller onboarding process using Java and SpringBoot, significantly enhancing data accuracy and reducing onboarding time by 90%. This backend solution featured robust RESTful APIs, comprehensive data validation, and seamless integration with the company's internal systems, greatly improving operational efficiency.
• Integrated a Credit Note field into the Claim Page, leveraging the power of SpringBoot for backend processing and ReactJS for the frontend interface. This addition enabled more efficient tracking of orders and streamlined financial reconciliation processes, enhancing the overall functionality and user satisfaction of the platform.

May 2021 – Jul 2021 · 2 mos · Remote

• Conceptualized and implemented a new Service Group Feature (SGF) within Global Server Load Balancing (GSLB), leveraging advanced load balancing algorithms to optimize traffic distribution. This enhancement resulted in a 30% reduction in service latency and a 25% improvement in overall system performance.
• Redesigned the health check engine and modified DNS daemon (DNSD) code to integrate the SGF, enabling more efficient service checks and achieving a 20% faster response time. This improvement was crucial in maintaining high availability and resilience of the distributed system.
• Led the testing and integration of grouped microservices to ensure seamless operation within the distributed architecture, achieving a 96% success rate in functionality tests. These efforts contributed to enhancing the reliability and scalability of the microservices-based architecture.

May 2020 – Jun 2020 · 1 mo · Delhi, India