Postdoctoral Research Fellow at University of Melbourne
Melbourne, Victoria, Australia
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Summary
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Senior
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Rajith Vidanaarachchi is a Postdoctoral Research Fellow and AI/Data professional with a PhD in machine learning and 11 years of experience building explainable, deployable forecasting and decision-support systems across research, government and enterprise settings. He bridges deep research—designing neural network architectures and pattern-recognition methods for complex time-series and bioinformatics—with hands-on engineering, delivering cloud-hosted workflows on platforms such as Azure and Replit using Python, R and SQL. Rajith has translated research into impact through applied consulting for clients like WorkSafe Victoria and TAC Victoria and by contributing to production-ready open-source tooling, including C/C++ wrapper work for the high-performance symbolic library SymEngine. He focuses on scalable, measurable automation and forecasting pipelines and is particularly interested in agentic AI and workflow orchestration where ML meets operational decision-making. Notably, his background spans both academic teaching and industry-facing pandemic modelling work, giving him a rare blend of pedagogical clarity and practical emergency-response analytics experience.
10 years of coding experience
1 year of employment as a software developer
Australian National University
BSc, Computer Science and Engineering (Hons.), 4.0 - Grade Point Average, BSc, Computer Science and Engineering (Hons.), 4.0 - Grade Point Average at University of Moratuwa
A-Levels, Pure & Applied Mathematics, Physics, Chemistry, 2.5063 Z-Score, A-Levels, Pure & Applied Mathematics, Physics, Chemistry, 2.5063 Z-Score at Ananda College - Colombo 10
Certificate, Spanish, Certificate, Spanish at Bandaranayake Center for International Studies
SymEngine is a fast symbolic manipulation library, written in C++
Role in this project:
Back-end Developer
Contributions:123 commits, 14 PRs, 42 comments in 5 months
Contributions summary:Rajith primarily contributed to the development of C++ wrappers for the SymEngine library, a fast symbolic manipulation library. Their contributions involved implementing wrappers for trigonometric functions, one-argument functions, and other mathematical functions within the C wrapper files. This includes the creation of a macro for one-argument functions, and the addition of tests for those and other functions within the cwrapper framework. Additionally, real double methods and complex methods have been added.
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Rajith Vidanaarachchi - Postdoctoral Research Fellow at University of Melbourne