Backend-focused Software Engineer with strong interests in distributed systems, event-driven architectures, and cloud-native platforms.
Computer Engineering graduate from the University of Peradeniya.
I enjoy building systems where correctness, performance, and observability matter — particularly microservices, data pipelines, and Kubernetes-based platforms. I’m especially interested in how AI techniques can be applied to optimize system behavior under real-world constraints.
- Event-driven microservices using Apache Kafka
- Low-latency backend systems and data synchronization pipelines
- Cloud-native applications deployed on Kubernetes
- Backend APIs with a focus on performance, reliability, and clean design
- Systems with strong observability using metrics, tracing, and logs
Final year research exploring adaptive resource management in Kubernetes environments.
- Designed and evaluated dynamic scaling strategies under strict latency constraints
- Instrumented microservices using Prometheus for workload and performance analysis
- Experimented with learning-based and heuristic approaches for resource allocation
- Deployed and tested microservices in Kubernetes clusters under controlled load
Technologies: Kubernetes, Docker, Python, Java, Prometheus
Machine learning pipeline for multi-class classification of hand tremor signals as a behavioral biometric.
Achieved 95.9% classification accuracy after preprocessing and feature analysis.
Repository: https://github.com/harith-abeysinghe/e19-co544-Hand-Tremor-Based-Biometric-Recognition
Full-stack auction system with real-time bidding logic and secure transaction handling.
Repository: https://github.com/cepdnaclk/e19-co328-Ecommerce-Auction-Website
Distributed sensor-based monitoring system with data analysis and visualization components.
Repository: https://github.com/cepdnaclk/e19-co326-water-quality-management-system
- Distributed systems and microservices architecture
- Event-driven systems and messaging platforms
- Kubernetes internals and cloud-native design
- Backend performance optimization
- Observability and system reliability
BSc. Engineering (Hons) – Computer Engineering
University of Peradeniya
GPA: 3.95 / 4.00