Aug 2021 – Aug 2023 · 2 yrs · Bangalore Urban, Karnataka, India · Hybrid

• Led the design and implementation of a real-time data sync platform, selecting scalable databases like MongoDB and PostgreSQL, and using Apache Kafka for data synchronization. This ensured a robust infrastructure capable of handling high data volumes for AI solutions.
• Developed an AI solution using Python, leveraging the synchronized data hub to enhance customer engagement and support.
• Managed 5 microservices and created an end-to-end connector framework in Spring Boot, managing over 200 connectors. This framework enabled seamless data flow essential for AI model inputs.
• Optimized databases, cutting storage costs by 50% and improving read/write speeds, supporting high-volume data processing required for AI algorithms.
• Improved data indexing, speeding up read times by 20% and reducing costs by 25%, supporting faster ML model training and more efficient AI operations.
• Contributed to integrating AI capabilities into the platform, enhancing real-time data processing and storage, crucial for AI and ML model training and deployment.

Jan 2020 – Aug 2021 · 1 yr 7 mos

• As the lead developer for a major US delivery giant customer, I successfully migrated a monolithic application to a series of large-scale micro-services, greatly improving efficiency and scalability. Additionally, I spearheaded a team of three in the development of a GPS microservice, utilizing advanced queuing mechanisms and Redis integration to enable real-time tracking of various vehicles.
• To ensure seamless deployment, I expertly configured CI-CD deployment to Dev/QA/Prod using Jenkins as the orchestration engine, saving a remarkable 20% in development time. Furthermore, I provided invaluable assistance to our automation team during integration and regression testing, resulting in a streamlined and efficient process.
• Overall, my efforts have greatly contributed to the success of our customer's delivery operations, ensuring timely and accurate tracking of all vehicles while optimising performance and productivity.

Jul 2018 – Jan 2020 · 1 yr 6 mos

• Demonstrated proficiency in implementing a unique solution for SAP by skillfully leveraging Azure DevOps and Jira-Jenkins. Moreover, developed an Eclipse Java plugin from the ground up, facilitating parallel development and reducing efforts by an impressive 35%.
• Proactively initiated and constructed a Flask application utilizing Python that interacts seamlessly with diverse web-hooks and REST endpoints, resulting in a remarkable 20% reduction in efforts, as well as more efficient debugging.

Jun 2017 – Jul 2017 · 1 mo · New Delhi, Delhi, India · On-site

• As an Android Developer Intern, I collaborated closely with the marketing team and other developers to create innovative mobile applications for the education sector. Drawing on my knowledge of the latest Android development technologies and best practices, I ensured that these applications were not only cutting-edge, but also highly secure and protected against data breaches.
• Through my efforts, I was able to deliver a suite of successful Android applications that were widely praised for their ease-of-use, functionality, and reliability. Moreover, my commitment to data privacy and security ensured that these applications provided a safe and secure experience for all users, earning high praise from both our customers and industry experts.
• Overall, my work as an Android Developer Intern has greatly contributed to the success of our organization, showcasing my technical proficiency, collaborative skills, and unwavering dedication to quality and security.