10/29/2026 updated
100 % available
Senior Data & AI Consultant | DWH, Regulatory Data (IFRS9, AnaCredit, COREP), LLM Document AI
Cluj-Napoca, Romania
Only remote
BSc Computer Science and Economics, Babes-Bolyai University, Cluj-Napoca (2012)About me
14+ years in data for ING, Rabobank, APG and Paddy Power Betfair. I bridge business and engineering: requirements, data models, DWH and specs teams can build. Founder of Fabrx, an LLM document-processing platform. Remote, EU hours. English, Romanian, Spanish.
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Data Integration & ETL
Design and implementation of end-to-end data integration pipelines and ETL processes using tools such as SSIS, Talend, OBIEE, DataStage, Azure Data Factory, and dynamic SQL Stored Procedures, enabling reliable data flow across complex multi-source environments.
Machine Learning & Generative AI
Training and deployment of state-of-the-art ML models, deep neural networks, and vLLMs for data classification, extraction, and understanding from unstructured documents, including the use of Azure AI Foundry, ML Studio, DSPy, and Pydantic frameworks.
Data Modeling & Architecture
Design of scalable data architectures including Data Vault, Star Schema, and dimensional modeling using tools such as PowerDesigner, ensuring model-driven, structured approaches for large-scale data warehouse and data mart projects.
Data Visualization
Creation of reports and dashboards using PowerBI, SSRS, Tableau, and Cognos to deliver actionable insights to business stakeholders.
T-SQL & PL/SQL
Extensive use of T-SQL and PL/SQL for data querying, transformation, and the development of reusable stored procedures within data warehouse environments.
Python
Application of Python in data engineering and AI workflows, including the use of libraries and frameworks relevant to machine learning pipelines and data processing.
Cloud Platforms & Azure
Utilization of Microsoft Azure services including Azure AI Foundry, ML Studio, Microsoft Fabric, Azure Data Factory, and Azure Storage Explorer as building blocks for scalable cloud-based data solutions.
Agile / Scrum Project Management
Leadership of Scrum ceremonies including Sprint Planning, Sprint Reviews, Daily Stand-Ups, and Retrospectives, with experience as Scrum Master and Product Owner across large-scale multi-team data projects.
Data Analysis & Business Analysis
Execution of thorough data mapping, modeling, validation, and quality assessments, translating business and regulatory requirements into actionable technical specifications and data products.
LLM & AI Product Development
Building and monetizing an AI-first micro-SaaS product running on modern ML flows and LLM architectures, including tuning and deploying a custom vLLM and creating an MCP server.
Design and implementation of end-to-end data integration pipelines and ETL processes using tools such as SSIS, Talend, OBIEE, DataStage, Azure Data Factory, and dynamic SQL Stored Procedures, enabling reliable data flow across complex multi-source environments.
Machine Learning & Generative AI
Training and deployment of state-of-the-art ML models, deep neural networks, and vLLMs for data classification, extraction, and understanding from unstructured documents, including the use of Azure AI Foundry, ML Studio, DSPy, and Pydantic frameworks.
Data Modeling & Architecture
Design of scalable data architectures including Data Vault, Star Schema, and dimensional modeling using tools such as PowerDesigner, ensuring model-driven, structured approaches for large-scale data warehouse and data mart projects.
Data Visualization
Creation of reports and dashboards using PowerBI, SSRS, Tableau, and Cognos to deliver actionable insights to business stakeholders.
T-SQL & PL/SQL
Extensive use of T-SQL and PL/SQL for data querying, transformation, and the development of reusable stored procedures within data warehouse environments.
Python
Application of Python in data engineering and AI workflows, including the use of libraries and frameworks relevant to machine learning pipelines and data processing.
Cloud Platforms & Azure
Utilization of Microsoft Azure services including Azure AI Foundry, ML Studio, Microsoft Fabric, Azure Data Factory, and Azure Storage Explorer as building blocks for scalable cloud-based data solutions.
Agile / Scrum Project Management
Leadership of Scrum ceremonies including Sprint Planning, Sprint Reviews, Daily Stand-Ups, and Retrospectives, with experience as Scrum Master and Product Owner across large-scale multi-team data projects.
Data Analysis & Business Analysis
Execution of thorough data mapping, modeling, validation, and quality assessments, translating business and regulatory requirements into actionable technical specifications and data products.
LLM & AI Product Development
Building and monetizing an AI-first micro-SaaS product running on modern ML flows and LLM architectures, including tuning and deploying a custom vLLM and creating an MCP server.
Experience
Professional experience10+ years
Freelancer since2016
Languages
EnglishFluentRomanianNative speakerSpanishGood
Project history
Founded and leads Fabrx (former Typeless), a micro-SaaS company backed by Microsoft (150,000 EUR from Microsoft for Startups), specializing in automating unstructured data extraction from documents and integrating it into systems across Finance, Accounting, HR, and Real Estate. Trained ML models, deep neural networks, and vLLMs; used Azure AI Foundry, ML Studio, Microsoft Fabric, Azure Data Factory; created a no-code platform, an MCP server, and deployed a custom vLLM. Managed a cross-functional development team and established strategic partnerships.
Responsible for data mapping, modeling, and validation of a highly complex 3-layer data integration project at ING Amsterdam. Built data pipelines end-to-end from iRisk to Esperanto and the Data Mart, delivered functional design and technical specifications for the Compliance DataMart, assisted with acceptance testing, managed stakeholder expectations, and supported developers in debugging.
Spearheaded the technical implementation of a global compliance tool (MCO) at APG Amsterdam, focusing on data integration and system interoperability. Conducted in-depth technical analyses for the KYC project, designed data flow diagrams and integration maps, performed data quality assessments, proposed data governance strategies, and led technical demos at C-level.