Summary
Chamith Mawela is a software engineer and AI researcher with nine years of experience bridging industry and academia, currently focused on AI RAN research at the University of Oulu. He specializes in backend and distributed systems, cloud-native architectures, and end-to-end ML workflows—having built Kubernetes-orchestrated ML pipelines, AWS microservices, and production-ready REST/WebSocket APIs. Chamith has led federated learning research and practical integrations for EU 6G projects, including building async Python frameworks and fine-tuning a Mixtral 7B model with QLoRA to automate FL tasks. His startup experience includes owning the full ML lifecycle for biometric/NLP products and architecting fault-tolerant, highly available systems for KYC solutions. Certified in AWS and comfortable across the stack (React, PostgreSQL, Moleculer.js), he enjoys turning research prototypes into resilient, customer-facing services. Based in Oulu, he combines hands-on engineering with a curiosity for scalable AI systems that solve real-world telecom and compliance problems.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Electrical and information Engineering, Bachelor’s Degree, Electrical and information Engineering at University of Ruhuna
Master's degree, Computer Science, Master's degree, Computer Science at University of Oulu
English, Sinhalese