Sahan Bulathwela
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSahan Bulathwela is a machine learning researcher and lecturer at UCL with nine years of experience building scalable data-driven systems across academia and industry, currently contributing to UNESCO Chair in AI and the X5GON and HumaneAI projects. His work bridges explainable AI, personalized educational recommendation systems, and large-scale user-state modelling, focusing on improving lifelong learners’ trajectories through rich knowledge and learner representations. He has a strong track record translating research into practice—from designing high-performance data pipelines at Skimlinks and Cisco to deriving automatic quality assessment models for open educational resources at UCL. Sahan also trains industry professionals as a Principal Teaching Fellow and helps shape AI education and outreach as a trustee at Chaitech, highlighting his commitment to capacity building. With a PhD in progress at UCL and a background spanning cybersecurity, personalized advertising, assistive technologies, and computational statistics, he blends rigorous research with pragmatic engineering. An underappreciated strength is his ability to operate across cross-modal, cross-cultural recommendation challenges while maintaining a focus on sustainable development impact.
9 years of coding experience
14 years of employment as a software developer
Post Graduate Diploma, Applied Statistics, Post Graduate Diploma, Applied Statistics at University of PeradeniyaBSc. (Hons.), Computing, BSc. (Hons.), Computing at University of PortsmouthTrinity College, KandyUniversity College London
Github Skills (6)
datasets6
data-collection4
machine-learning2
python2
educational-technology1
linux1
Programming languages (1)
Github contributions (5)
sahanbull/academic-kickstart
Dec 2019 - Jan 2025
Contributions:133 pushes, 1 branch in 5 years 2 months
sahanbull/context-agnostic-engagement
May 2020 - Dec 2021
This repository contains the VLEngagement dataset and the helper functions/ tools required to work with the dataset.
Contributions:1 review, 42 commits, 4 PRs in 1 year 6 months
datasetsdatasetdata-collectionhelper-functions
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