Rahul Barua

Leading a Spring Boot and Next.js project for integrating reliable order synchronization between SellerCenter and Microsoft Dynamics 365, managing cloud deployments on Azure App Service.

Managed a team of 4 offshore engineers, designing system components, creating technical documentation, code reviewing, E2E testing, and developing new features following TDD. Wrote batch migrations with Spring Batch and Kafka in Java-17 following event-driven architecture, and designed Apache Camel integration for service orchestration and error handling across microservices.

Worked with an international cross-functional team for a microservice-based Japanese leisure product, developing REST and async APIs, integrating GraphQL data fetching, and query optimization.

Contributed to a large-scale government project by implementing microservice architecture, building a Jenkins CI/CD pipeline with Docker on AWS, and implementing authentication using Spring Cloud OAuth2 with Angular 12. Designed and developed the approval process flow of PPS using Apache Camel and AWS SQS for asynchronous notification.

Worked on a fintech project for designing and developing various features of banking solutions using Spring Boot, Hibernate, Apache POI, and Oracle DB to develop high-volume loan collections. Implemented the litigation section using Spring Data Envers and React.js.

Involved in development of RESTful APIs, bug fixing, and deployment of various modules for log tracing regarding MikroTik router and RADIUS using Spring Boot, Hibernate, and Oracle DB. Also maintained biometric middleware solutions and performed database backups using C# and SQL.

Engaged as a full-stack engineer, involved in the entire process from gathering requirements to designing and developing various modules of a medical ERP system with Java 8, Spring Boot, Spring Security, Data JPA, MySQL, Liquibase, and Docker. Pioneered the first in-house canteen management system enabling staff to handle twice more daily transactions.

Activities and societies: Developed an MLP model to predict energy consumption of electric vehicles; used Python, TensorFlow, Keras, Numpy, Pandas, Scikit-learn, FastAPI.

Masters in Computer Science with specialization in Machine Learning, including a thesis on anomaly detection in commodity prices using FinBERT NLP and autoencoders.

Activities and societies: Completed thesis on object shape detection using geometric parameters; used image processing and MATLAB R2014a.

Bachelor of Science in Computer Science and Engineering, with a thesis on object shape detection using geometric parameters.