Planning and managing IT and data projects – from concept to delivery – with a focus on goals, deadlines, and budgets.
Design of scalable architectures for data-intensive systems and AI, plus expert reviews to ensure stability and efficiency.
Analysis of data and AI projects to identify optimization potential and provide actionable recommendations.
Gathering, analyzing, and documenting requirements – for clear communication and successful project outcomes.
Tailored software solutions for data processing, machine learning, and AI – modern, efficient, and scalable.
Management of IT operations and data processes, introducing efficient DevOps practices, and optimizing costs and performance.
Databricks
Oracle (Exadata)
PostgreSQL
Azure Cloud
Google Cloud Platform
Dagster
Apache Kafka
Claude API
OpenAI API
LangChain / LangGraph
Prefect ETL
Cloudera
n8n
Microsoft Fabric
Apache Superset
Former developer, business analyst, and project manager with deep experience in IT management and data-driven solutions. Extensive background in large enterprises (Data Warehousing & Big Data) across banking and telecommunications, as well as startups focused on data science, AI, and LLM-powered agentic systems. Specialized in bridging technology, business processes, and AI-driven automation to deliver optimal impact and measurable value.
