Sumit Suman

Worked on a consumer intelligence and discovery platform that provides marketers with faster access to actionable consumer insights.

• Designed, developed, and implemented RESTful APIs using Java, Spring Boot, and Maven/Gradle to facilitate seamless data exchange between systems.
• Ensured APIs were well-documented with Swagger and adhered to industry best practices, enhancing developer usability and integration efficiency.
• Collaborated with cross-functional teams to gather requirements and deliver tailored API solutions.
• Ensured API security and data protection through best practices and compliance standards.
• Wrote Junit and Unit Test Cases for new APIs to enable automated testing.
• Developed microservices architectures to improve system performance and scalability, including the integration of
• Elasticsearch for optimized search functionality and phonetic/soundex search.
• Collaborated with the data science team and developed a Recommendation Engine using Azure Cosmos DB.
• Implemented a CI/CD pipeline to streamline application deployment and support product improvement.
• Optimized and refactored code to improve efficiency, reduce technical debt, and enhance application performance.
• Led a team of 11 people, conducted code reviews, and provided KT sessions to junior team members.
• Monitored and troubleshot production issues, contributing to the application’s overall stability and reliability.
• Worked within Agile methodology to ensure project milestones were met efficiently.

Developed and managed APIs to enhance customer data handling and promotional activities for the Loyalty team.

• Designed and implemented RESTful APIs using Java and Spring Boot to manage customer data, order requests, and promotional activities.
• Configured API Gateway for secure and efficient API management, contributing to a robust microservices architecture.
• Collaborated with cross-functional teams to gather requirements, developing solutions that streamlined data handling and enhanced user experience.
• Implemented a Retail Recommendation Engine using Neo4j for graphical database representation.
• Took initiative and built an Automation Test Suite from scratch and configured CI/CD setup to reduce manual testing efforts by 90%, ensuring rapid and reliable deployment strategies.
• Utilized Kafka messaging queues for load balancing of API calls, ensuring high system availability and performance.
• Optimized system performance through regular code refactoring and proactive monitoring of production environments.

Contributed to fault management and smart dashboard development to predict network outages.

• Developed and documented RESTful APIs for fault management, enhancing system reliability and operational efficiency.
• Used RabbitMQ to handle alarm requests in a channelized and queued manner, contributing to a robust fault management system.
• Implemented automation using Ansible Playbook to streamline operational tasks and improve system availability.
• Worked on RabbitMQ to handle alarm requests in a channelized and queued manner.
• Monitored system health and developed dashboards to predict network issues before they occurred, reducing downtime.
• Optimized existing scripts and developed new ones to maintain and monitor application health proactively.

Worked on billing and charging module development for T-Mobile.

• Developed and implemented RESTful APIs to provide comprehensive customer support for the billing and charging module.
• Worked closely with cross-functional teams to gather requirements and develop solutions to enhance customer billing and support services.
• Wrote scripts to suggest customized postpaid plans to customers based on monthly usage, improving user satisfaction and retention.