I’m an AI researcher and an ML engineer exploring various data science specific topics including reinforcement learning, deep learning, optimisation methods, agentic executions, Large Language Models (LLMs), and robotics/simulations. Especially, I have a soft spot for reinforcement learning, having completed a doctorate study on “Robust and Efficient Reinforcement Learning for Physics Tasks“, under the mentorship of A/prof. Santu Rana, Dr. Thommen George Karimpanal and Prof. Svetha Venkatesh at Deakin University, Australia.
In a previous chapter of my career, I was a software engineer and engineering manager for about a decade, working mostly on web application development and delivery. I have led teams in creating impactful SaaS solutions across FinTech, recommender systems, data analytics, and CRM domains.
Name : Buddhika Laknath
Email : blaknath [at] gmail [dot] com
Twitter: http://twitter.com/laknath
Github: https://github.com/laknath
Google Scholar: https://scholar.google.com.au/citations?user=Bah0tGIAAAAJ&hl=en
In the past worked with Gnome, Drupal and Eclipse. Have many good things to say about Google Summer of Code having participated twice as a student (New documentation editor for Project Mallard(2007) ,New Eclipse Plugin for XQuery(2008) ) and later as a mentor.
Update (2026/06/14)
Currently interested in/working on following topics.
- Reinforcement learning
- Large language models and agentic learning
Update (2011/12/31)
Previously interested in / working on:
- Programming language wise Ruby/Python/Javascript/PHP/Erlang
- Machine learning and NLP
- Human language tools/localization (particularly on Sinhala language)
- Clouds and related designs
- Payment industry
All that is gold does not glitter,
Not all those who wander are lost;
The old that is strong does not wither,
Deep roots are not reached by the frost.
– The Fellowship of the Ring, J. R. R. Tolkien