Summary
Namal Jayasuriya is a research-driven Project Lead and data scientist with 11 years of experience and 6+ years focused on applying machine learning to forecasting, behavior modeling, and image-based phenotyping. He has translated PhD research into production-ready systems—building cloud-compatible ETL pipelines, containerised microservices, and MLFlow-versioned workflows that deploy inference endpoints and stakeholder dashboards. His work spans multimodal time-series and computer vision (RGB-D crop monitoring, plant phenotyping, drone image analytics) and blends reproducible research with pragmatic engineering for scalability on AWS and edge devices. Comfortable communicating to both technical and non-technical audiences, he routinely turns interdisciplinary collaborations into peer-reviewed publications and demo-ready platforms. A practical systems builder, he pairs model ablation and evaluation rigor with hands-on deployment experience, including Coral/EdgeX and Docker-based microservice architectures.
11 years of coding experience
8 years of employment as a software developer
Master of Science in Computer Science, Computer Science, Master of Science in Computer Science, Computer Science at University of Colombo School of Computing
Bhuddism, Final Year Certification Exam, Bhuddism, Final Year Certification Exam at Sri Ghothama Dhamma School
Doctor of Philosophy - PhD, Computer Science, Agricultural Engineering, Doctor of Philosophy - PhD, Computer Science, Agricultural Engineering at Western Sydney University
Physics, GCE Advanced Level, Physics, GCE Advanced Level at D. S. Senanayake College
English, Sinhala