Iskustvo

Designed laboratory software for food, industrial plant, river, and animal sample processing, covering sample intake, testing methods, pathogens and diseases, and final report statuses.

Solved two offline scenarios: technician-level offline work on mobile devices with RxDB, and laboratory-level outages through in-house servers that synchronize with cloud services later.

Used RabbitMQ service-bus communication with Inbox-Outbox patterns across laboratory and cloud modules, including bi-directional federation between local and cloud RabbitMQ.

Analyzed GitHub Copilot and Cursor for the leadership team, introduced Cursor across development in phases, and managed team growth through PDPs and periodic 1-on-1 meetings.

Worked as a C#/.NET Core backend developer on payment flows that needed to follow European financial regulations.

Implemented several payment models including B2B, customer-business, loan, and credit flows with Stripe as the primary payment provider.

Used Azure DevOps for deployment work and Bicep for infrastructure modifications.

Led teams of up to ten people, including sprint planning, task preparation, critical issue resolution, PDP tracking, and monthly 1-on-1 meetings.

Delivered cloud data platforms consolidating Microsoft Dynamics, Salesforce, and internal systems through Azure Data Factory, Analysis Services, and Power BI.

Built serverless systems with AWS Lambda, Azure Functions, Step Functions, and the Serverless Framework.

Worked across AWS ECS/EKS and Azure AKS, maintaining IaC with Terraform, Azure ARM, and AWS CDK, and supporting mobile app distribution through App Center, TestFlight, and Google Play Console.

Worked on an Azure big data system with roughly 2 TB of data, where about a quarter of the portfolio was active and processed daily.

Established private virtual networks, isolated secure entry points, supported deployment sessions, and owned end-to-end deployment processes.

Monitored high-load Azure services including EventHub, HDInsight, Data Factory, Cosmos DB, Table Storage, and Stream Analytics.

Built modules for the Indirect Taxation Authority in Bosnia and Herzegovina, covering taxpayer registration, accounting, tax cards, tax return submission, and enforced collection.

Worked in a classic monolithic ASP.NET system with substantial business process logic implemented through MS SQL Server stored procedures.

Coordinated the Lanaco Software Summer Internship 2017, setting architecture, organizing four teams, running daily Scrum meetings, and prioritizing backlog work across four sprints.

Worked as a full-stack engineer on large-scale enterprise systems.

Joined the team responsible for supporting intensive deployments that began and ended outside regular working hours.

Designed day-ahead and intra-day prediction flows using near real-time inverter data from providers such as Huawei FusionSolar, Solar Cloud, SMB, and Fronius.

Collected daily weather forecasts and exchange data, then used weather parameters and market prices to adapt production calculations.

Used MongoDB for weather models and production plans, Redis for cacheable generated data, and PostgreSQL/Supabase for static plant, trader, location, organization, and user data.

Developed Python prediction algorithms and notebooks for comparing model versions by absolute error and financial impact before moving to CatBoost models trained on plant history.

Led DevOps work for a Norwegian startup, redesigning the Azure infrastructure several times as business requirements changed.

Moved the platform from App Services to AKS for orchestration and adaptive scaling, then proposed and executed a migration to Azure Container Apps to reduce cost and operational complexity.

Maintained Terraform IaC, Azure DevOps CI/CD, Application Insights, Log Analytics, Azure Monitor, and alerting across multiple environments and subscriptions.

Supported a microservices architecture with 10-12 business contexts using AKS or Container Apps with Azure Service Bus for inter-service communication.

Built parsing algorithms for multiple CSV formats used by health-insurance companies.

Consolidated heterogeneous source files into a single final model and deployed the processing flow on AWS Lambda.