14.10.2026 aktualisiert
Premiumkunde
100 % verfügbarData Engineer & AI/ML Specialist
Budapest, Ungarn
Nur Remote
MS Business Analytics, Central European UniversityÜber mich
I'm an engineer focused on the end-to-end data and ML systems lifecycle — from building cloud pipelines and lakehouse platforms to shipping machine-learning solutions with AI agents. Recently graduated from MS in Business Analytics at Central European University while prototyping ML-driven products.
Skills
AI AgentsApache IcebergAutomatic Data Processing EquipmentKünstliche IntelligenzApache AirflowSaasCloud-EngineeringData ArchitectureData IntegrationData Manipulation LanguageData TransformationData-ProfilingData Transformation ServicesData WarehousingDatenbankentwicklung
Machine Learning Engineering
Engineering scalable ML solutions and pipelines, including unsupervised machine learning techniques for network optimization, end-to-end delivery of ML models for B2B clients, and ML-driven SaaS prototyping.
Data Engineering & Pipeline Development
Development of automated Apache Airflow pipelines for robust data ingestion and processing, ETL pipelines for cloud migration, and building modern Data Lakehouse architectures using Apache Iceberg on Google Cloud Platform.
AI Systems & Technical Leadership
Leading technical strategy and execution for AI-native products, driving product and engineering decisions from concept to production, and leveraging AI agents such as Cursor, Gemini CLI, and Copilot for accelerated development.
Python & Data Science
Application of Python for data science tasks including feature engineering, web scraping, geospatial analysis, and explainable AI (XAI) implementations.
SQL & Data Warehousing
Design and implementation of optimized data marts on cloud-native lakehouse architectures, data modeling, and translating complex analytical results into actionable business reports.
Geospatial Analytics & Visualization
Development of interactive geospatial visualizations to support strategic network planning and architecting foundation data models for geospatial retail analytics initiatives.
Computer Vision & Deep Learning
Development of computer vision plugins for automated biological image analysis and application of deep learning techniques to high-throughput microscopy data.
Cloud Platforms (GCP)
Building and modernizing data lakes and data warehouses on Google Cloud Platform, including certified knowledge in GCP data services.
SaaS & Full-Stack Prototyping
Rapid prototyping of SaaS products using Supabase, Firebase, and modern full-stack tools within a hacker space environment.
Engineering scalable ML solutions and pipelines, including unsupervised machine learning techniques for network optimization, end-to-end delivery of ML models for B2B clients, and ML-driven SaaS prototyping.
Data Engineering & Pipeline Development
Development of automated Apache Airflow pipelines for robust data ingestion and processing, ETL pipelines for cloud migration, and building modern Data Lakehouse architectures using Apache Iceberg on Google Cloud Platform.
AI Systems & Technical Leadership
Leading technical strategy and execution for AI-native products, driving product and engineering decisions from concept to production, and leveraging AI agents such as Cursor, Gemini CLI, and Copilot for accelerated development.
Python & Data Science
Application of Python for data science tasks including feature engineering, web scraping, geospatial analysis, and explainable AI (XAI) implementations.
SQL & Data Warehousing
Design and implementation of optimized data marts on cloud-native lakehouse architectures, data modeling, and translating complex analytical results into actionable business reports.
Geospatial Analytics & Visualization
Development of interactive geospatial visualizations to support strategic network planning and architecting foundation data models for geospatial retail analytics initiatives.
Computer Vision & Deep Learning
Development of computer vision plugins for automated biological image analysis and application of deep learning techniques to high-throughput microscopy data.
Cloud Platforms (GCP)
Building and modernizing data lakes and data warehouses on Google Cloud Platform, including certified knowledge in GCP data services.
SaaS & Full-Stack Prototyping
Rapid prototyping of SaaS products using Supabase, Firebase, and modern full-stack tools within a hacker space environment.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2026
Sprachen
GermanGrundkenntnisseEnglishverhandlungssicherSpanishverhandlungssicherHungarianMuttersprache
Projekthistorie
Leading technical strategy and execution at Proximata, a Vienna-based hacker lab. Driving product and engineering decisions from concept to production for AI-native products. Building tech solutions and spinoffs by enabling ambitious builders with infrastructure and resources.
Member of Hungary's first hacker space. Engineering an ML-driven SaaS that generates stylized comics with consistent characters from images. Rapid prototyping using Supabase, Firebase, and modern full-stack tools. Leveraging AI agents (Cursor, Gemini CLI, Copilot) for accelerated, parallelized development.
Engineering scalable ML solutions and pipelines for the fixed-line business segment. Building a modern Data Lakehouse using Apache Iceberg on Google Cloud Platform. Developing automated Apache Airflow pipelines for robust data ingestion and processing.