Dilan Sachintha

Working with the large-scale, business-critical mediation platform, contributing to feature development, fixing critical customer issues and defects, and improving reliability.

• Improved test automation and CI/CD pipelines, helping to streamline builds, automated tests, and product releases.
• Completed a master's thesis with Nokia, designing and evaluating Kubernetes operators to replace Helm-based lifecycle management in the mediation product.
• Gained hands-on experience with highly available, cloud-native application architecture, observability, and fault management.
• Contributed to the Charging and Mediation team within CNS Product & Engineering, collaborating with a multinational team across Europe, India, Malaysia, and China.
• Built and maintained Jenkins jobs for CI/CD to improve software quality and developer experience.

Worked in the Ballerina team — an open-source, cloud-native programming language optimized for integration, running on the JVM.

• Maintained HTTP2, gRPC, Kafka, RabbitMQ, FTP, and MQTT libraries for the Ballerina language using Java.
• Proficient in analysing runtime issues like OOMs, performance degradations, and intermittent failures.
• Handled Ballerina major/minor releases from development to community release ensuring smooth product delivery.
• Increased code coverage, performed end-to-end testing, load-testing, and test automation of developed libraries.
• Created a GitHub pipeline running load-tests in an Azure Kubernetes cluster to detect performance issues.
• Led code reviews and effective source code management following open-source best practices.

Python teaching assistant for the Programming Fundamentals module. Guided students in problem-solving strategies, design, implementation, and troubleshooting.

• Developed a server monitoring tool for stock market orders and server components using Python, Node.js, and Angular.
• Built a log parsing system utilizing the Elasticsearch stack to predict upcoming server downtimes.

Offered data conversion services to clients across the USA, Europe, UK, and Australia — transforming large datasets across JSON, CSV, YAML, XLSX, and XML formats using Python.