AI Product Thinking
Academic integrity, AI risk analysis, dashboards, feedback, reporting, and ML prediction workflows.
Software Engineering Graduate · Aspiring AI Engineer
Hi, I’m Chanindhu Bandara.
I build practical AI, machine learning, cloud, backend, full-stack, mobile, and distributed systems projects — focused on clean engineering, usable products, and recruiter-ready proof of work.
Focus
Every section is built to show project depth, technical range, and a clear AI/software engineering direction.
Academic integrity, AI risk analysis, dashboards, feedback, reporting, and ML prediction workflows.
AWS deployment, APIs, databases, authentication, monitoring, and system architecture.
Distributed systems, threading, Java/OOP, Android, C, cybersecurity labs, and UX case studies.
Projects
Filter by category or search by technology, project name, or engineering area.
Showing 17 projects
Technical Stack
Python, Java, C#, C, TypeScript, JavaScript, SQL
Machine learning workflows, feature engineering, model evaluation, Jupyter, AI-assisted productivity
React, Tailwind CSS, HTML, CSS, Android, JavaFX, WPF
FastAPI, Flask, ASP.NET Core, REST APIs, PostgreSQL, MySQL, SQLite, Room
AWS EC2, RDS, VPC, ALB, CloudWatch, Docker, Git, GitHub, Postman, Linux
Distributed systems, threading, pthreads, WCF, .NET Remoting, operating systems concepts
Education
Curtin University, Colombo
Coursera / Google Career Certificates
Practical AI specialization covering AI productivity, prompting, responsible AI use, and modern AI workflows.
Reading for Certificate Level and Operational Level (Stage 1).
Contact
Open to AI-focused, software engineering, backend, cloud, full-stack, and graduate technology opportunities.