About Dzianis
English
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Experience
- Andersen LabDevOps EngineerApril 2026 - Today (3 months)Poland1. Healthcare Platform (Appointment Booking, Video & AI Services)Role: DevOps EngineerThe project started as a healthcare appointment booking platform running on AWS ECS. As the product evolved, thecustomer decided to introduce video consultations and AI-powered services. Since AWS ECS was no longer sufficientfor GPU-intensive AI workloads and the application architecture continued to grow, we migrated to AWS EKS.I designed and deployed a parallel Amazon EKS environment within the same VPC, enabling a seamless migration.To ensure development teams experienced no disruption, I implemented traffic mirroring, allowing both environmentsto operate simultaneously during the transition.For AI workloads, I introduced a serverless architecture using Knative, while ArgoCD was implemented to providedeclarative GitOps-based application deployment and reconciliation.ResponsibilitiesAWS (EKS, ECS, IAM, S3, SNS, SQS, Outposts), Terraform, GitLab CI/CD, ArgoCD, Helm, Knative, PostgreSQL,MySQL, Kafka, Grafana, Git2. Textile Quality Control SystemRole: DevOps EngineerCloud-native platform for automated textile quality inspection using Computer Vision.The platform processed images from production lines, executed AI inference, and integrated with manufacturingsystems through an event-driven architecture.ResponsibilitiesBare Metal Kubernetes, Knative, RabbitMQ, Computer Vision, Ansible, ELK Stack, Prometheus, GitLab CI/CD,Docker3. E-commerce Platform & Warehouse Management SystemRole: DevOps EngineerCloud-native e-commerce platform integrated with a warehouse management system.Azure (Container Apps, ACR, PostgreSQL Flexible Server, Redis Cache, Static Web Apps, Storage Account, KeyVault, Log Analytics), Terraform, Terragrunt, GitLab CI/CD, Docker, Java (Spring Boot), .NET, Angular, Keycloak,PostgreSQL, Redis, SonarQube
- polysvitSoftware DeveloperJanuary 2021 - April 2024 (3 years and 3 months)Developed a system for aggregating orders from transportation and logistics platforms(FAST API, Selenium, AWS, autonomous Linux-based server, Terraform, CI/CD) - worked as BackEnd+Devops.2 - Built a digital advertising system for elevators (ASUS Tinker Board, code migrated from Python toGo). Frontend in React hosted on an S3 bucket, integrated with AWS Lambda and ASUS Tinker Board, Serverwith Redis - worked as BackEnd3 -Developed an automated advertising system.-worked asBackEnd+Devops + FrontEndhttp://mune.plFrontend: React, deployed on AWS S3 bucket, Authentication: AWS COGNITO15 Databases : DynamoDB,Data access: 22 AWS Lambda FunctionsPayment system: Integrated with Przelew24 + STRIPECache - AWS SQSDevOps: Terraform, GitHub action Ci/CDAndroid mobile development using React Native and Android StudioReact Native TF (TensorFlow), react-native-fast-tflite , TensorFlow Light,Development of face recognition systems that operate offline—where the model runs locally on Androidwithout requiring a server or internet connection. (no GDPR needed)AFW Android For Work (Kiosk Mode application)FastAPI server in Python for MDM (Mobile Device Managment)ANTU Fraud system:@forticonsole/forticonsole-client-sdk inmplemented in Reactapplication, FastAPI server in Python, PostgreSQL (Raw storage) -> Scikit-learn Pipeline (FeatureEngineering) -> Numeric Vector with Scikit-learn-> ScyllaDB/Milvus (Vector Storage & SimilaritySearch) -> Isolation Forest (Real-time prediction)
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Education
- AWS Cloud Developer AWS Fundamentals Python Core KCNAAWS Cloud Developer AWS Fundamentals Python Core KCNA
- Bachelor of Arts - BABelarusian State University of Food and Chemical Technologies2008Bachelor of Arts - BA