I’m a self-taught developer focused on building reliable, well-structured systems using programming, AI, and data-driven thinking.
I care deeply about fundamentals, clean logic, and learning through real-world experimentation rather than shortcuts.

My interests sit at the intersection of software engineering, machine learning, and financial systems, where discipline and clarity matter more than hype.

• Programming with Python, JavaScript, and C++
• AI / ML fundamentals, experimentation, and applied learning
• Full-stack development using Next.js
• Developer tooling, automation, and workflows
• Understanding how technology supports business and finance

A clean interface for exploring machine-learning predictions.

• Next.js · FastAPI · PyTorch
• Real-time inference visualization
• Modular design

🔗 https://github.com/yasiruchamathka/project-nova

A productivity-focused CLI built for automation.

• C++ · Python
• Cross-platform workflows

🔗 https://github.com/yasiruchamathka/quantum-cli

Experimental ML system for time-series analysis.

• TensorFlow · scikit-learn
• Research-oriented

🔗 https://github.com/yasiruchamathka/sentinel-ai

“First, solve the problem. Then, write the code.”