Software Engineering Graduate · Aspiring AI Engineer

Hi, I’m Chanindhu Bandara.

Building AI-powered software with clean engineering and real project depth.

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.

0Projects
0CWA
0Dean’s List
Chanindhu Bandara profile photo
AI ML AWS API
portfolio.pipeline
01AI product systemsonline
02ML prediction workflowstrained
03AWS cloud deploymentready
04Full-stack engineeringbuilt

Focus

A portfolio designed around real engineering signals.

Every section is built to show project depth, technical range, and a clear AI/software engineering direction.

01

AI Product Thinking

Academic integrity, AI risk analysis, dashboards, feedback, reporting, and ML prediction workflows.

02

Cloud & Backend

AWS deployment, APIs, databases, authentication, monitoring, and system architecture.

03

Systems Range

Distributed systems, threading, Java/OOP, Android, C, cybersecurity labs, and UX case studies.

Projects

Featured work first. Complete archive below.

Filter by category or search by technology, project name, or engineering area.

Showing 17 projects

Featured Projects

Project Archive

Technical Stack

The tools behind the projects.

Languages

Python, Java, C#, C, TypeScript, JavaScript, SQL

AI & Data

Machine learning workflows, feature engineering, model evaluation, Jupyter, AI-assisted productivity

Frontend & Mobile

React, Tailwind CSS, HTML, CSS, Android, JavaFX, WPF

Backend & Databases

FastAPI, Flask, ASP.NET Core, REST APIs, PostgreSQL, MySQL, SQLite, Room

Cloud & Tools

AWS EC2, RDS, VPC, ALB, CloudWatch, Docker, Git, GitHub, Postman, Linux

Systems

Distributed systems, threading, pthreads, WCF, .NET Remoting, operating systems concepts

Education

Academic foundation and certifications.

2024 — 2026

Bachelor of Computing — Software Engineering Major

Curtin University, Colombo

  • Completed degree requirements; graduation ceremony pending.
  • Course Weighted Average: 78.71
  • Dean’s List: Year 2 Semester 2 and Year 3 Semester 2
  • Key areas: machine learning, cloud computing, distributed systems, algorithms, databases, operating systems, secure coding, software architecture, and mobile application development.
2025

Google AI Essentials

Coursera / Google Career Certificates

Practical AI specialization covering AI productivity, prompting, responsible AI use, and modern AI workflows.

2023 — Present

CIMA

Reading for Certificate Level and Operational Level (Stage 1).

Contact

Let’s build something intelligent.

Open to AI-focused, software engineering, backend, cloud, full-stack, and graduate technology opportunities.