dilan@github:~$ whoami
Software Engineer building backend, full-stack,
AI-assisted and cloud-native software systems.
focus -> backend / saas / ai / distributed systems
approach -> ship / measure / improve / maintain
interface -> APIs / web apps / real-time workflows
platform -> Azure / AWS / Docker / Kubernetes
stack:
backend:
- ASP.NET Core
- FastAPI
- Node.js
- Spring Boot
frontend:
- Next.js
- React
- Angular
- Blazor
data:
- SQL Server
- PostgreSQL
- MySQL
- MongoDB
- Redis
engineering:
- REST APIs
- Multi-Tenant SaaS
- Microservices
- Event-Driven Architecture
- WebSockets
- RBAC
- JWT Authentication
cloud:
- Azure
- AWS
- Docker
- Kubernetes
- GitHub Actions
- Azure DevOps
- CI/CDflowchart LR
UI["WEB CLIENT"]
API["API LAYER"]
CORE["APPLICATION CORE"]
DATA["DATA"]
ASYNC["ASYNC / REAL-TIME"]
AI["AI / AUTOMATION"]
CLOUD["CLOUD"]
UI --> API
API --> CORE
CORE --> DATA
CORE --> ASYNC
CORE --> AI
DATA --> CLOUD
ASYNC --> CLOUD
AI --> CLOUD
Next.js / Angular / React
→
ASP.NET Core / FastAPI
→
PostgreSQL / Redis
→
Docker / Cloud
class Engineer:
name = "Dilan Dilruksha"
role = "Software Engineer"
def __init__(self):
self.building = [
"backend systems",
"multi-tenant platforms",
"full-stack applications",
"AI-assisted workflows",
"cloud-native software",
]
self.principles = [
"reliable",
"scalable",
"maintainable",
"observable",
]
def ship(self):
return "design -> build -> test -> deploy -> improve"flowchart LR
A["01<br/>DESIGN"]
B["02<br/>BUILD"]
C["03<br/>TEST"]
D["04<br/>SHIP"]
E["05<br/>OBSERVE"]
F["06<br/>IMPROVE"]
A --> B --> C --> D --> E --> F
F -.-> A
STATUS online
MODE building
LOCATION Colombo, Sri Lanka
INTERESTS
├── backend architecture
├── distributed systems
├── multi-tenant SaaS
├── AI-native applications
├── cloud infrastructure
└── developer toolingHave an interesting engineering problem?
Let's build something useful.
software that ships · systems that scale · code that stays maintainable