Hello, I'm Ravindu!
AI Engineer | Small Language Models · MLOps · Robotics
I build efficient AI systems for real-world, resource-constrained environments — from fine-tuning small language models to deploying end-to-end ML pipelines.
Currently exploring the intersection of AI systems and robotics.
Featured Projects
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Automated Fine-Tuning Pipeline (MLOps)
End-to-end pipeline for training, tracking, and deploying language models.
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Small Language Model Fine-Tuning & Evaluation
Improved Qwen 2.5 7B performance (~60% → ~65%) in privacy-sensitive environments.
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AutoChess – Autonomous Chess Playing Machine
A physical chess-playing system integrating embedded systems, sensing, and control.
About
AI undergraduate at University of Moratuwa (CGPA: 3.86), with experience in small language models, MLOps, and real-world AI systems.
Previously worked as a Research & AI Intern at WSO2, focusing on fine-tuning language models and building automated ML pipelines.
Now
- Preparing for an AI engineering role with long-term focus on robotics
- Exploring efficient AI systems and small language models
- Working on neuro-symbolic AI systems
Focus Areas
Small Language Models · MLOps · NLP · Computer Vision · Robotics