Summary
Savindi Wijenayaka is an Intermediate Machine Learning Engineer with eight years of experience building production-ready AI solutions across computer vision, NLP, and cloud-native systems. Based in Auckland, she has moved between applied R&D and engineering roles—designing deep learning services for emotion and speech analysis at Pearson, and developing GPT-based test generation and anomaly detection pipelines at WSO2 using Azure Kubernetes and event-driven architectures. She combines research depth (pursuing a PhD in Bioengineering) with pragmatic deployment skills, automating CI/CD and performance testing to improve reliability and resource efficiency. At Auror she continues to focus on applied ML, bridging model research and scalable microservice integration. Notably, she has hands-on experience diagnosing critical memory leaks and turning research prototypes into resilient services, demonstrating an uncommon mix of investigative debugging and system-level thinking.
8 years of coding experience
1 year of employment as a software developer
Secondary Education Physical Sciences (2014 A/L), Secondary Education Physical Sciences (2014 A/L) at Visakha Vidyalaya Colombo
BSc. (Hon.) Software Engineering Computer Software Engineering, BSc. (Hon.) Software Engineering Computer Software Engineering at University of Kelaniya Sri Lanka
Doctor of Philosophy - PhD Bioengineering, Doctor of Philosophy - PhD Bioengineering at University of Auckland
English, Sinhala, Tamil