Gayan Pathirage

DevOps Engineer (Early Career) | Independent Researcher | Former Software Engineering Intern

Recent Software Engineering graduate with a DevOps foundation, actively seeking full-time roles in DevOps, Cloud, or SRE. Independently working on the research side of DevOps—building observability tools, optimizing systems, and contributing to related research work. Currently working with a startup to streamline their software delivery pipeline, tackling real-world deployment challenges, and implementing practical DevOps solutions.

"Confident in fundamentals and driven to specialize in DevOps, with a proven ability to learn new technologies and environments quickly."

Associate Engineer (DevOps | Cloud | Backend) – VIHI IT Solutions

VIHI IT Solutions is a startup focused on developing cloud-based insurance broker management systems. The company secured a contract with Delmage, one of Sri Lanka's largest insurance brokerage firms, to build a comprehensive client and operations management platform through modern cloud infrastructure.

• Led DevOps and DevSecOps initiatives for a cloud-based insurance broker management system, ensuring secure and scalable infrastructure deployment.
• Conducted client stakeholder meetings with Delmage's management team to gather requirements and translate business needs into technical solutions.
• Collaborated with client's internal IT team to design and implement cloud infrastructure architecture, ensuring optimal performance and security compliance.
• Architected software solutions and developed backend APIs to support broker operations and client management workflows.
• Implemented security best practices and automated deployment pipelines to ensure system reliability and data protection.
• Managed end-to-end project delivery, from initial requirement analysis through production deployment and ongoing system maintenance.

Software Engineering Intern – DP Infotech Sri Lanka

DP Infotech, part of one of Sri Lanka's largest and most diversified conglomerates, serves industries including Automobiles, Financial Services, Logistics, Agriculture, Racing, and Leisure. Originally founded to support the Group's digital needs, DP Infotech has expanded since 2020 to offer its technical expertise externally. The company delivers digitalization, digitization, and digital transformation solutions through a skilled and experienced team.

• Worked extensively with Oracle Database, including modifying PL/SQL business logic, .NET Core APIs, and JavaScript frontend.
• Supported and troubleshot live ERP system (DPMC) issues in production, where errors could directly affect multiple business units and operations.
• Investigated and diagnosed root causes of critical system errors and bugs, ensuring minimal disruption to business processes.
• Fixed issues to maintain ERP system stability and performance.
• Implemented fixes to maintain ERP system stability, performance, and reliability under high operational demands.
• Collaborated with cross-functional teams to resolve urgent issues affecting business continuity.
• Gained experience in working on highly sensitive and business-critical ERP systems, understanding the operational impact of software changes across the organization.

AZ-104: Microsoft Certified Azure Administrator Associate

Azure

Exam pending

Demonstrate key skills to configure, manage, secure, and administer key professional functions in Microsoft Azure.

AZ-900: Microsoft Certified: Azure Fundamentals

Azure

Exam pending

Demonstrate foundational knowledge of cloud concepts, core Azure services, plus Azure management and governance features and tools.

AWS Academy Cloud Foundations

AWS Academy

Valid: from 2024 october

Skills: AWS Architecture · AWS Cloud · AWS Core Services · AWS Pricing · AWS Support.

Introduction to DevOps

IBM

completed-January 15, 2024

knowledge in Cloud-Native Computing, Behavior-Driven Development (BDD), CI/CD, Microservices, Performance Metrics, Team-Oriented, Cross-Functional Collaboration, Culture Transformation.

Docker Training Course for Beginners

KodeKloud

completed-January 21, 2024

Skills: Containerization · docker · Container Networking · Container Orchestration.

DIBMS – Cloud-based Insurance Broker Workflow Management Platform

Deployment & Cloud Architecture Implementation
Designed and automated the deployment architecture on DigitalOcean using Docker and Terraform. Implemented CI/CD pipelines with GitHub Actions, reducing deployment time by 75% and enabling zero-downtime releases. Automated infrastructure provisioning and optimized cloud resources to achieve 99.9% uptime and SOC2 compliance.

Internal Developer Dashboard (Observability & Monitoring)
Built a centralized Observability and Monitoring API, integrated as an internal developer dashboard for real-time system insights. Provided visibility into container details, image metadata, health status, CPU usage, deployment status, and application logs. This enhanced observability streamlined debugging, accelerated issue resolution, and improved the overall developer experience.

Architecture: containerized services, and automated CI/CD pipelines reducing deployment time by 75%, multi-environment deployment
Tech Stack: Docker, Terraform, GitHub Actions, DigitalOcean Droplat,Monitoring API (Observability Dashboard)
Achievements: 99.9% uptime, 40% improvement in processing efficiency, SOC2 compliance.

Farmer Smart-AI-Driven Innovation for Effective Rice Farming Management

This research project was developed to address key challenges faced by Sri Lankan rice farmers throughout the cultivation lifecycle. Conducted as a group of four members under the supervision of two university lecturers, the project aimed to provide farmers with a digital solution powered by deep learning and mobile technology.

The system focused on four major problems:

• Seed Quality: Identifying and ensuring high-quality seeds before cultivation.
• Disease Detection: Early detection of crop diseases during the growth stage to prevent widespread damage and provide tailored solutions.
• Pest Infestation: Identifying pest attacks early to mitigate losses.
• Post-Harvest Quality Assessment: Analyzing rice quality before entering the market to provide farmers with an accurate quality report.

Each problem was addressed using separate CNN-based machine learning models, which were integrated into a single mobile application. The solution achieved 94.5% accuracy in rice variety identification and 92.3% accuracy in rice quality grading. The application was built using React Native for the mobile frontend,Spring Boot for backend services, and MongoDB for data storage. The CNN models were integrated via a Flask-based web API.

My Contribution: Responsible for the disease detection component, developing and training the CNN model to identify crop diseases from images. Also contributed to backend integration, ensuring smooth communication between the mobile app, Flask API, and the database.

Key Features: Real-time image processing, offline functionality, multi-language support, farmer dashboard with historical data, market price integration.
Tech Stack: React Native, Python Flask API, TensorFlow,Firebase, mongodb
Impact: Virtually presented in THE 16th INTERNATIONAL IEEE CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT).

->I work on personal projects in my spare time. You can view them in my GitHub repositories. view

"Present and Future Growth"

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Presented an overview of ongoing projects and current clients to the audience, and shared the company’s future direction and mindset.

Topics Covered: Current projects and future direction.
Audience:10+ team members and guest speakers

"Smart Solar Panal Management System"

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Recorded video for external supervisors to provide an overview of the project and to gather their domain knowledge contributions.

Topics Covered: Introduction of the project, problem statement, development process.