09/09/2026 updated


Premium member
100 % availableSenior AI Engineer | Cloud & Full-Stack Consultant
Bratislava, Slovakia
Only remote
Ing. CivilAbout me
Senior AI & Full-Stack Consultant with 15+ years of experience delivering enterprise solutions across AI, Azure, .NET, Python and cloud platforms. Specialized in Azure OpenAI, RAG, LLMOps, Kubernetes and scalable distributed systems for finance, energy and scientific research.
RAGAzure OpenAIAzure DevOpsClean Code PrinciplesASP.NET.NET FrameworkApache AirflowC Sharp (Programming Language)Dependency InjectionDevOpsGitHubJavaScript LibrariesPython (Programming Language)Azure SQLNode.js
Senior AI Engineer with 15+ years of experience delivering enterprise software, AI-powered platforms, and cloud-native solutions. Strong expertise in Azure OpenAI, Retrieval-Augmented Generation (RAG), LLMOps, Agentic AI, .NET, Python, Angular, React, Node.js, Azure, Kubernetes, Terraform, Apache Airflow, Databricks, and distributed microservice architectures. Experienced in building scalable SaaS products across finance, energy trading, scientific research, and enterprise software.
Experience
Professional experience10+ years
Freelancer since2014
Languages
GermanBasic knowledgeEnglishFluentSlovakGoodTurkishNative speaker
Project history
Designed and delivered enterprise AI-powered financial planning and forecasting platforms using ASP.NET Core (.NET 9), C#, Angular, Azure, SQL Server, Azure OpenAI, and modern cloud architecture. Redesigned financial calculation services, improving processing performance by approximately 40%, while building scalable REST APIs for forecasting, budgeting, scenario modelling, and multi-currency financial analysis.
Modernized CI/CD pipelines with Azure DevOps, TeamCity, Azure Artifacts, JFrog Artifactory, and integrated reporting platforms including Power BI, Bold BI, DevExpress, and Telerik. Designed centralized logging and observability solutions to improve platform reliability and production monitoring.
Introduced Azure OpenAI and Agentic AI concepts by developing AI-powered financial insight generation, natural-language forecasting, and LLM evaluation workflows. Combined AI, cloud architecture, DevOps, security, and full-stack engineering to deliver scalable enterprise SaaS solutions.
Architected a production-grade Retrieval-Augmented Generation (RAG) platform using Azure OpenAI, LangGraph, Azure AI Search, Azure Functions, Node.js microservices, Azure Storage, and Azure Cosmos DB to power AI-driven scientific knowledge discovery for global researchers and policymakers.
Designed vector search, semantic retrieval, embedding pipelines, LLMOps evaluation, and AI quality improvement workflows using MLflow, while building scalable data ingestion pipelines with Apache Airflow, Azure Data Factory, Databricks, and PySpark.
Developed modern React/Next.js applications integrated with Strapi CMS, automated cloud deployments using Terraform and Azure DevOps, and delivered secure, scalable cloud-native solutions combining AI engineering, cloud architecture, data engineering, and full-stack development.
Designed and developed enterprise energy trading platforms using ASP.NET Core, C#, Python, Azure, SQL Server, Apache Airflow, Databricks, PySpark, Kafka, RabbitMQ, Kubernetes, and Terraform.
Built scalable ETL pipelines, metadata-driven data integration frameworks, AI-assisted data quality monitoring, and cloud-native microservices processing market data from over 40 heterogeneous sources. Improved batch processing performance, automated infrastructure provisioning with Terraform and ARM, and implemented modern DevOps practices across Azure environments.
Applied AI, NLP, and machine learning techniques for information extraction, anomaly detection, and market data processing while integrating Grafana, Prometheus, Azure AKS, Microsoft Entra ID, OAuth 2.0, and RBAC to deliver secure, highly available enterprise platforms.
Certificates

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