Bhathiya Dissanayake — Software Engineer
Backend-first engineer. Production systems at Real scale. I build distributed systems that don't break when it matters and I've done it at enterprise scale (IFS Cloud ERP 1B+ Rev, 10,000+ daily users, 50+ countries). In 3 years of engineering, I've shipped production-grade features end-to-end, resolved critical system-down incidents for international clients, and cut deployment cycle times through CI/CD automation. My work runs in the background of businesses across Germany, France, the UK, Australia, and US. What I'm obsessed with right now: Building AI-powered systems that are actually useful not just demos. I architected InsightPulse, a real-time distributed pipeline processing 100K+ reviews using Kafka, pgvector, RAG, and the Claude API with a Redis caching layer that reduced LLM API costs by 98%. The stack I move fastest in: Java · Python · Spring Boot · AWS · PostgreSQL · Kafka · Docker · React · LLM/RAG pipelines. Published IEEE researcher in deep learning & NLP. Currently completing an M.S. in Data Science at RMIT (all HDs). Open to grad roles & internships for 2026/27 — Melbourne & Sydney.
Stackforce AI infers this person is a Backend Engineer specializing in SaaS and AI-driven solutions.
Location: Melbourne, Victoria, Australia
Experience: 3 yrs 2 mos
Skills
- Java
- Ci/cd
- Distributed Systems
- Software Engineering
- Teaching
- Algorithms
- Python
- React
- Full-stack Development
- Cloud Applications
Career Highlights
- Architected AI-powered systems reducing costs by 98%.
- Shipped production-grade features end-to-end in enterprise environments.
- Published IEEE researcher in deep learning and NLP.
Work Experience
IFS
Software Engineer (1 yr 8 mos)
University of Westminster
Academic Tutor (6 mos)
IFS
Software Engineer Intern (1 yr)
Webserce
Lead Engineer/ Founder (10 mos)
Education
Master of Data Science at RMIT University
Bachelor of Engineering (Honours) - BEng(Hons) at University of Westminster
Grade One to Advance Level at Trinity College Kandy