Summary
Navin Pemarathne is a Senior Data Scientist with six years of experience blending software engineering rigor with applied AI/ML expertise, currently driving RAG and document-processing initiatives at IFS. He designs and operationalizes scalable pipelines and MLOps on Azure, pairing experimental research on LLMs with production-ready frameworks to improve retrieval relevance and contextual understanding. Prior roles span full‑stack engineering and backend systems, giving him a pragmatic edge in migrating legacy platforms and building robust APIs and services. Navin’s academic background includes an MSc in Data Science and a First Class BE in Computer Software Engineering, and he actively bridges industry and academia through talks and competition judging. A gaming enthusiast and researcher, he explores Deep Reinforcement Learning for game AI to enhance player experience—a perspective that fuels creative, game-informed approaches to problem solving. Colleagues know him for combining structured, experimental methods with a knack for novel, practical solutions.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at Informatics Institute of Technology (IIT Campus)
Bachelor of Engineering - BE, Computer Software Engineering, First Class Honours, Bachelor of Engineering - BE, Computer Software Engineering, First Class Honours at University of Westminster
MSc, Data Science, MSc, Data Science at University of Colorado Boulder
A/Ls: B, C, C | O/Ls: 9As, A/Ls: B, C, C | O/Ls: 9As at Royal College Colombo
Sinhala, English