Chamara Yaparathne

AI Engineer | MLOps Engineer | Cloud & Kubernetes | Smart Manufacturing

Professional Summary

AI/ML and Cloud Engineer with experience in Kubernetes, Docker, AWS, Azure, and scalable cloud-native systems. Deepening expertise in Machine Learning, Natural Language Processing (NLP), Information Retrieval, Computer Vision, and MLOps pipelines. Proven track record building industrial IoT and SCADA-based platforms featuring AI-driven automation and real-time data processing. Solid background in DevOps, CI/CD automation, cloud infrastructure orchestration, and deploying scalable cloud-native environments for AI workloads.

Technical Skills Matrix

  • Cloud Platforms: AWS (Primary), Azure
  • AI/ML & Frameworks: Machine Learning, NLP, Computer Vision, Information Retrieval, TensorFlow, PyTorch, Scikit-learn
  • MLOps & Data Processing: ML Pipelines, Model Deployment, Kubernetes for ML Workloads, Pandas, NumPy
  • IaC & Automation: Terraform, Ansible, Bash
  • Containerization: Docker, Kubernetes, Helm, Azure Container Registry (ACR)
  • CI/CD & Tools: Azure DevOps Pipelines, GitHub Actions, Jenkins
  • Observability: Prometheus, Grafana
  • Security & Networking: Azure Key Vault, VNets, NSGs, DevSecOps

Professional Experience

AV IOT Solutions | Software Engineer

May 2024 – Present

  • Project: Focused on the development of a customizable web-based SCADA system for real-time data visualization using various technologies.
  • Strategic Responsibilities:
    • Designed and developed a web-based SCADA platform for real-time industrial data visualization using React, Laravel, and Azure cloud services.
    • Integrated OPC UA and PLC systems to enable real-time data acquisition and processing from industrial equipment.
    • Built scalable web dashboards and APIs to support industrial automation and smart manufacturing workflows.
    • Collaborated on AI and Computer Vision initiatives for industrial automation, including real-time monitoring and intelligent operational insights.
    • Supported cloud-native deployment environments for AI-enabled industrial applications using Docker and Kubernetes.
  • Technology Stack: Python, React, Azure, Laravel, JS, Linux, Docker, Kubernetes, SQL.

ICBT Campus | Visiting Lecturer

May 2026 – Present

  • Core Domains: Cloud Computing, Edge Computing, and Artificial Intelligence.
  • Instructional Focus:
    • Delivering lectures on Edge Computing architecture and real-world implementations of integrated Cloud-Edge frameworks.
    • Teaching strategies for scaling Machine Learning at the edge (Edge Intelligence / Edge AI).
    • Exploring advanced distributed training methodologies, including Federated Learning and Split Federated Learning at the edge.
    • Addressing core IoT infrastructure challenges, including bandwidth constraints, latency optimization, security, and large-scale data handling.
    • Translating cutting-edge research paradigms into practical applications for cloud-edge topologies.

Softvessel (pvt) Ltd | React Base Training

June 2024 – December 2024

  • Project: Focused on React.js with TypeScript and ES6 during training at Soft Vessel.
  • Strategic Responsibilities:
    • Acquired comprehensive skills in React.js, TypeScript, and ES6 programming workflows.
    • Completed practical application projects utilizing modern front-end engineering practices.
    • Participated in hands-on design architecture modules to master React component lifecycles.
  • Technology Stack: React, TypeScript.

Center for Lean Excellence | Software Engineer

November 2023 – April 2024

  • Project: Focused on digitization and optimization in manufacturing environments, with particular emphasis on the beverage and tire industries.
  • Strategic Responsibilities:
    • Architected and developed interactive digital dashboards to enhance visibility, tracking, and metric reporting of manufacturing performance.
  • Technology Stack: React, Laravel, Docker, Azure, Linux.

IJSE - Institute of Software Engineering | Trainee Software Engineer

May 2023 – November 2023

  • Project: Software engineering trainee program focusing on deep practical skills in scalable system design and agile software principles.
  • Strategic Responsibilities:
    • Gained foundational knowledge in software development methodologies, design patterns, and clean code best practices.
    • Participated in collaborative engineering sprints utilizing centralized version control systems and strict code standard compliance.
    • Contributed directly to active codebases, successfully deploying basic software modules into testing pipelines.
  • Technology Stack: Java, JS, TS, SQL, PostgreSQL, Linux, CSS.

Education & Certifications

Education

  • MSc. in Computer Science (Specializing in Cloud Computing) – University of Moratuwa (2025 – Present)
    • Research Focus: Hybrid Cloud–Edge Computing Framework for Smart Manufacturing (utilizing Docker, Kubernetes, and AI)
  • MSc. in IT & Strategic Innovation – Kingston University (2021 – 2023)
  • BSc. in Engineering – University of Moratuwa (2017 – 2021)

Certifications

  • KodeKloud Certifications:
    • Certified Kubernetes Administrator (CKA)
    • Certified Kubernetes Application Developer (CKAD)
    • DevSecOps Certified Engineer
    • Red Hat Certified System Administrator (RHCSA)
    • MLOps Engineering Certification