BSc (Hons) Computer Science
Informatics Institute of Technology · University of Westminster
Full-stack software engineer · Colombo, Sri Lanka
I build reliable software from API to interface.
I'm Isira Edirisinghe, a full-stack engineer with three years of production experience across Java, Spring Boot, Angular, and TypeScript.
3years in production engineering
45%less manual QA overhead
60%faster estimated incident response
01 / About
Engineering that holds up in the real world.
I work across backend design and frontend delivery, with a focus on enterprise systems that need to be dependable, testable, and clear to operate.
At CodeGen International, I shipped GDPR-compliant microservice features, built API regression coverage, and worked inside a focused stabilisation squad resolving release-critical issues.
I completed a BSc (Hons) in Computer Science with Second-Class Honours (Upper Division) at IIT, affiliated with the University of Westminster, while continuing to explore practical machine learning and developer tooling.
02 / Experience
Production work, measured by impact.
Associate Software Engineer
Delivered GDPR-compliant data flows across Java/Spring Boot microservices and Angular interfaces, including consent capture and field-level masking with zero compliance violations.
- Built REST API regression coverage that reduced manual QA overhead by 45%.
- Resolved high-priority defects in a six-person stabilisation squad.
- Worked with Docker, Kubernetes, and Oracle SQL in an enterprise environment.
Software Engineer Intern
Contributed features and defect fixes to a large Spring Boot application while strengthening the team's observability, performance, and security feedback loops.
- Built Splunk SPL dashboards, cutting estimated incident response time by roughly 60%.
- Tested three core services with JMeter and OWASP ZAP before production release.
03 / Selected work
Projects built around useful decisions.
01
Machine learning research
Adaptive Preprocessing for Music Classification
A model-driven audio pipeline that learns which of five signal-processing strategies to apply to each sample, improving performance on noisy, web-sourced music data.
+1.5% accuracy · 35% less variance
- Python
- TensorFlow
- Flask
- React
- Streamlit
02
Applied machine learning
CVrealm
A CV analysis tool that parses uploaded résumés, extracts skill sets, and maps candidates to relevant roles using a trained classification model.
Resume parsing · Role classification
- Python
- JavaScript
- Streamlit
03
Desktop application
Skin Consultation System
A scheduling system for dermatology consultations, built around live doctor availability, booking conflict detection, and appointment management.
Conflict-safe appointment workflow
- Java
- Java Swing
04 / Toolkit
Comfortable across the full delivery path.
Languages
Java, Python, TypeScript, JavaScript
Frontend
Angular, React, RxJS, Streamlit
Backend
Spring Boot, REST APIs, Flask, Microservices
Quality
JUnit, Postman, JMeter, OWASP ZAP
Platform
Docker, Kubernetes, Git, GitLab
Data & visibility
MySQL, Oracle SQL, Splunk SPL
05 / Education
Computer Science, grounded in delivery.
Foundation Certificate in Higher Education
Informatics Institute of Technology
06 / Contact
Have a system to build or a problem to untangle?
Tell me a little about what you're working on. I'll reply directly to the email address you provide.
[email protected]