Hi 👋, I'm Sahan Nimesha

Senior Full Stack Software Engineer

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👨‍💻 Professional Summary

Full Stack Software Engineer with 5+ years of experience designing and developing scalable enterprise-grade applications across backend systems, frontend platforms, distributed architectures, and cloud-native infrastructures.

Specialized in building intelligent, high-performance systems using:

• Microservices Architecture
• AI-Assisted Platforms
• Distributed Systems
• Cloud & DevOps Engineering
• Enterprise Java Ecosystems
• Real-Time Monitoring & Analytics

Currently completing an MSc in Advanced Software Engineering with research focused on:

🎓 AI-Based Anomaly Detection for Microservices-Based Web Applications

My research combines:

• Artificial Intelligence
• Machine Learning
• Distributed Systems
• Observability Engineering
• Cloud Native Architecture
• Intelligent Monitoring Pipelines

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🧠 Core Engineering Expertise

Backend Engineering:
  - Java
  - Spring Boot
  - Spring Security
  - REST APIs
  - Microservices
  - Distributed Systems
  - Python

Frontend Engineering:
  - React
  - TypeScript
  - JavaScript
  - Vite
  - Responsive UI/UX

Cloud & DevOps:
  - Docker
  - Kubernetes
  - Jenkins
  - CI/CD Pipelines
  - Linux Infrastructure
  - Cloud Native Deployment

AI & Research:
  - Machine Learning
  - AI-Based Detection Systems
  - Intelligent Monitoring
  - Data Processing Pipelines
  - Predictive Analytics

Databases:
  - MySQL
  - MongoDB
  - PostgreSQL
  - Redis

Architecture:
  - Scalable System Design
  - Enterprise Integration
  - Event-Driven Systems
  - High Availability Systems
  - Performance Optimization

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🚀 Technology Stack

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☁️ Cloud Native & DevOps Engineering

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🤖 Artificial Intelligence & Research

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📊 GitHub Analytics

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🏆 Engineering Focus Areas

⚡ Enterprise Application Development

Building scalable enterprise-grade software platforms with robust backend architecture and modern frontend ecosystems.

⚡ Cloud Native Engineering

Designing containerized, orchestrated, and highly available systems using Kubernetes and cloud-native technologies.

⚡ Distributed Systems

Developing resilient distributed architectures with optimized communication, scalability, and observability.

⚡ AI-Driven Intelligent Systems

Researching and implementing anomaly detection and intelligent monitoring systems powered by Machine Learning.

⚡ DevOps & Infrastructure Automation

Implementing CI/CD pipelines, deployment automation, infrastructure optimization, and operational reliability engineering.

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🎓 Current Research

AI-Based Anomaly Detection System for Microservices-Based Web Applications

Research Areas:

• Intelligent Anomaly Detection
• Hybrid AI Models
• Distributed Monitoring
• Observability Engineering
• Real-Time Event Processing
• Predictive Failure Analysis
• Cloud Native AI Systems

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📌 Featured Engineering Principles

Scalability • Reliability • Performance • Maintainability • Security • Clean Architecture

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🌐 Connect With Me

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💡 Engineering Vision

Designing intelligent, scalable, and resilient systems that bridge advanced software engineering with real-world AI innovation.

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