Software engineer based in Sri Lanka, focused on clean full-stack architecture, systematic debugging, and pairing that foundation with modern AI developer tooling.
I'm a full-stack software engineer with one year of professional experience at SenzMate, building AIoT data-monitoring applications end-to-end — frontend, backend, and the AWS infrastructure underneath them.
My approach starts with fundamentals: algorithms, data structures, and object-oriented design from my B.Sc. in Industrial Information Technology, applied through real production code, not just coursework.
I debug systematically — tracing execution to root cause rather than guessing — and I've built that habit into how I use AI-assisted tools like GitHub Copilot and Claude AI, treating them as a way to move faster without losing the fundamentals underneath.
Beyond the day job, I keep building: three independent full-stack projects, ongoing AWS certifications, and a genuine interest in how AI is reshaping the way software gets written.
Comfortable across React/Next.js UIs, Node/Express APIs, and the AWS services that host them.
Resolved 20+ production and QA bugs by tracing execution paths rather than patching symptoms.
Copilot and Claude AI speed up my loop — code generation, debugging, and documentation — without replacing fundamentals.
Picked up AWS, Spring Boot, and new AI tooling quickly, on the job and independently.
Internal dashboard suite for real-time AIoT data across 3 enterprise products — built end-to-end and optimized for performance and reliability.
Role-based platform for admins, vendors, and customers, with product browsing, cart management, and order processing via RESTful APIs.
View on Live →Scalable villa resort booking platform for local and international users, with clean separation between frontend and backend layers.
View on Live →Full-stack marketplace for listing, advertising, and managing vehicle inventory, with secure Spring Boot authentication.
View on GitHub →Uva Wellassa University, Sri Lanka
SenzMate — hands-on training in AI-assisted development workflows and product lifecycle management.
Dubai AI — AI fundamentals, Generative AI, and prompt engineering.
AWS Skill Builder — EC2, S3, RDS, DynamoDB, VPC, IAM, Auto Scaling, CloudWatch.
AWS Skill Builder — Amazon Bedrock, RAG pipelines, AI agents, SageMaker, Guardrails, Amazon Q.
Have a role, a project, or just want to talk shop about AI-augmented development? My inbox is open.