Summary
Nishadi Kirielle is a Staff Software Engineer and TensorFlow-certified ML researcher with a PhD in Computer Science from the Australian National University and a decade of experience building production-grade systems and research-grade models. He blends academic rigor—evidenced by publications at top-tier conferences and a postdoctoral fellowship at CSIRO—with hands-on engineering at institutions like Commonwealth Bank and ANU, where he deployed scalable data-integration pipelines on HPC clusters. His technical focus spans RAG, generative AI, knowledge graphs, data integration, and question answering, and he has a history of optimizing large-scale workflows (e.g., a 10% runtime reduction for historical population reconstruction). A longtime open-source contributor and former Apache Gora PMC member, he brings deep familiarity with big-data persistence and distributed processing to bridge research and production. Based in Melbourne, he pairs systems-level engineering with cutting-edge ML research to move models from prototypes to resilient deployments.
10 years of coding experience
6 years of employment as a software developer
Australian National University
Bachelor of Science (Hons) Computer Science and Engineering, Bachelor of Science (Hons) Computer Science and Engineering at University of Moratuwa
St. Joseph's Balika Maha Vidyalaya
English, Sinhalese