Summary
Chanuka Dinuwan is a Senior Software Engineer with seven years of experience building cloud-native, scalable backend systems and event-driven architectures using Python, Java/Spring Boot, Kafka, Kubernetes, and AWS/GCP. He combines hands-on engineering with DevSecOps practices—automating CI/CD pipelines and integrating SonarQube and Veracode—to reliably ship secure production services. Currently pursuing an MSc in Data Science & AI, Chanuka couples practical backend expertise with published research in Generative AI, LLMs and RAG systems to drive AI-enabled product features. A recognized AWS Community Builder (Serverless) and Wiley Learning Champion, he has a track record of improving system reliability and automation, winning a Sysco global hackathon and lifting automation coverage dramatically at Wiley. Based in Colombo, he’s equally comfortable implementing resilient data streams and prototyping ML-driven capabilities, often translating research insights into deployable services.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Science and Artificial Intelligence, Master of Science - MS Data Science and Artificial Intelligence at University of Moratuwa
Grade 6-13 GCE O/L and A/L, Grade 6-13 GCE O/L and A/L at Narandeniya National Colledge
Bachelor of ICT(Hons) Computer Software Engineering, Bachelor of ICT(Hons) Computer Software Engineering at University of Sri Jayewardenepura
English, Sinhalese