Played a key role in designing and implementing a large-scale microservices architecture system using Nest.js, MongoDB, GraphQL, Docker, and Google Pub/Sub. Covering various domains of the business and creating impactful features. Collaborated closely with Frontend developers to ensure seamless integration of the Backend application and swift issue resolution. Led the successful migration of data from a legacy monolithic project with a user base of over 50k to a new microservices-based system, with the help of Python for scripting, GraphQL for interaction with the microservices system, and MongoDB for data analysis and querying. Employing analytical processes and implementing migration strategies, ensuring minimal critical data loss. Mentored intern, providing guidance on best practices, codebase understanding, and problem-solving approaches. Leveraged expertise in Non-Relational database design to create high-performance features and perform complex queries and aggregation pipelines.

Significantly improved performance of a microservices architecture system by optimizing response time by over 300%. The project stack was Express.js, NATS, DynamoDB, PostgreSQL, OAuth providers, and several AWS services. Documented the entire process, including the identification of bottlenecks, performance profiling, and the implementation of various strategic solutions. Designed and implemented reusable components within the microservices ecosystem, streamlining development efforts and enhancing system flexibility and scalability. Conducted a comprehensive refactoring of more than 80% of the existing codebase. This initiative significantly improved code readability, maintainability, and team productivity. Demonstrated exceptional communication and teamwork skills in a remote international environment, collaborating with team members from around the world.

Developed backend endpoints and integrated them with mobile platforms using Laravel and MySQL, to enable the implementation of diverse and mission-critical functionalities. Created data visualization dashboards using Python, SQL, and stored procedures, which served as vital benchmarks for assessing the effectiveness of decision-making processes. Conducted extensive data analysis using Python, Pandas, and Matplotlib, in conjunction with proficient database querying techniques for efficient data collection. Integrated Firebase with mobile platforms to collect and analyze user usage data, which resulted in enhanced user experience and product optimization.