12.08.2026 aktualisiert

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AI Developer | AI Architect

Frankfurt am Main, Deutschland
Nur Remote
M.Sc. in Computer Science
Frankfurt am Main, Deutschland
Nur Remote
M.Sc. in Computer Science

Profilanlagen

DE CV_Liuzniak.pdf

Über mich

Results-driven AI architect with extensive experience designing AI solutions and shaping AI strategy at organizational level. Skilled at translating business needs into scalable architectures and production-ready platforms that enable teams to successfully adopt and operationalize AI solutions.

Skills

AI AgentsRAGMLflowGCPLangChainKünstliche IntelligenzContinuous IntegrationJUnitMachine LearningOpenShiftAzure Machine LearningDocker ContainerPrompt EngineeringApache SparkDeep LearningGenerative AIPytestContainerisierungMachine Learning OperationsDatabricks
AI Strategy & Enterprise Architecture
Definition of AI strategies and enterprise architectures that translate business and operational requirements into scalable, production-ready AI platforms. Focus on AI adoption and establishing architectural patterns that enable organizations to systematically introduce and operationalize Generative AI.
Generative AI, RAG & Knowledge Systems
Design of LLM- and RAG-based systems for enterprise knowledge access, guideline interpretation, compliance checks and decision support. Expertise in retrieval design, knowledge structuring, prompt engineering and hallucination mitigation in real-world enterprise contexts, including multimodal inputs.
AI Platform Engineering & Deployment
Design of modular AI services and scalable deployment architectures that integrate reliably into enterprise environments. Strong focus on containerization, cloud-native infrastructure, API-driven services and CI/CD-enabled delivery models that allow AI capabilities to be deployed, operated and extended across multiple use cases.
Advanced Machine Learning Systems
Background in designing and optimizing ML and deep learning solutions for fraud prevention, KYC and industrial automation, including customer segmentation, feature engineering and reinforcement learning applications.

Tech Stack
Programming Languages
Python, Java
Generative AI
LLMs, SLMs, RAG, NLP, Prompt Engineering, Hallucination Mitigation, Responsible AI (RAI), Explainable AI (XAI), Agentic AI, LangChain, LangGraph
Data Processing & Storage
PostgreSQL, pgvector, Qdrant, OpenSearch, Pandas, NumPy, Apache Spark, PySpark, Hadoop HDFS, Apache HBase
AI Platform, Cloud & Infrastructure
Microsoft Azure, GCP, AWS, Databricks, Azure OpenAI, Docker, OpenShift, Helm, CI/CD, REST APIs
MLOps & Quality Assurance
MLflow, Pydantic, Pytest, JUnit, FitNesse
Integration & Enterprise Tooling
Figma MCP, Enterprise Connectors, Knowledge Systems Integration
Machine Learning, Deep Learning & Computer Vision
Scikit-Learn, TensorFlow, PyTorch, XGBoost, OpenCV, PyTesseract, Reinforcement Learning, Feature Engineering, Clustering, Graph-based Methods

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2025

Sprachen

DeutschverhandlungssicherEnglischverhandlungssicherItalienischverhandlungssicherUkrainischMuttersprache

Projekthistorie

AI Architect

Sonstiges

< 10 Mitarbeiter

  1. Designed and developed an AI-powered system for analyzing and evaluating dental treatment documentation based on medical best practices
  2. Designed the system architecture for structured document analysis, recommendation generation and compliance checking, enabling systematic detection of missing documentation and billing information
  3. Defined a hybrid LLM/SLM pipeline including an anonymization layer for privacy-preserving processing of sensitive patient data and architected the RAG knowledge layer grounded in medical and billing guidelines
  4. Led the technical direction of the development team, defined the implementation strategy and designed the deployment architecture using containerized services

AI Architect

Banken und Finanzdienstleistungen

1000-5000 Mitarbeiter

  1. Designed and led the implementation of a company-wide AI solution that automates UX design validation, improves design quality and reduces manual review cycles across product teams
  2. Built an automated UX evaluation engine integrated into a Figma plugin and web interface, generating guideline-based test cases and assessing the current design against internal standards to ensure consistency and compliance
  3. Developed an interactive RAG designer chat assistant that answers questions about both the active design file and the organization’s UX guidelines defining the deployment architecture using containerized services

AI Architect

CBTW

Internet und Informationstechnologie

1000-5000 Mitarbeiter

AI strategy & AI adoption
  1. Designed and conducted workshops enabling stakeholders to understand Generative AI capabilities, risks and architectural considerations for successful adoption in their projects
  2. Delivered a webinar on building production-ready GenAI systems, covering regulatory implications, hallucination and bias mitigation and real-world applications in the financial sector
  3. Translated complex AI concepts into practical architectural guidance for product owners, developers and managers, increasing organizational readiness for AI adoption
  4. Acted as a bridge between legal, business and technical teams by converting regulatory and business requirements into actionable AI system design practices
  5. AI Architecture, AI Strategy, AI Governance, Risk Assessment, Hallucination Mitigation, Bias Mitigation, Prompt Design, RAG Patterns, AI Adoption Frameworks

AI Developer

CBTW

Internet und Informationstechnologie

1000-5000 Mitarbeiter

Chatbot solution with image integration and communication workflow enhancements
  1. Designed and implemented an image ingestion pipeline to process and integrate visual data into the chatbot's knowledge base, enabling multimodal question answering
  2. Developed Outlook and Teams connectors, enhancing the chatbot's integration with communication workflows
  3. Applied Explainable AI techniques to provide transparency into image processing workflows and retrieval logic, ensuring users can trace responses back to their visual sources
  4. Python, OpenSearch, Docker, CI/CD, Prompt Engineering, LLM, RAG, NLP, GenAI, XAI

AI Developer

CBTW

Internet und Informationstechnologie

1000-5000 Mitarbeiter

Fraud prevention solution in the banking industry
  1. Significantly simplified model training, model deployment and model evaluation by implementing an effective customer segmentation strategy that reduced the number of models from 10 million to 9 models for the fraud prevention use case
  2. Enhanced the existing XGBoost model through the development of new features
  3. Implemented a new strategy for transaction evaluation using an autoencoder model
  4. Python, Java, Pandas, NumPy, Scikit-Network, Pyplot, JUnit, FitNesse, HDFS, Apache HBase, Spring Boot, Apache Kafka, PySpark, Docker, Machine Learning, XGBoost, Graphs, Clustering, AFC, Fraud Prevention

AI Architect

CBTW

Internet und Informationstechnologie

1000-5000 Mitarbeiter

Chatbot solution for customer support using RAG in the chemistry industry
  1. Led the design and implementation of an end-to-end chatbot solution for customer support and product recommendation use case delivering the fully functional system within 3 months
  2. Improved quality of search results in the chatbot knowledge base by using prompt engineering, summarization techniques and a two-layer search system based on product name filtering and relation matching to handle multi-hop questions
  3. Implemented a modular solution, which allows building custom chatbot pipelines and defined the deployment architecture using containerized services
  4. Incorporated Responsible AI mechanisms providing users with clear justifications for product recommendations
  5. Python, Microsoft Azure, MLflow, Docker, CI/CD, Prompt Engineering, LLM, RAG, NLP, GenAI, XAI (Explainable AI), RAI (Responsible AI), AI Architecture, AI Strategy

AI Developer

Qundo Technology
  1. Led the development and optimization of the AI component for a KYC (Know Your Customer) process, ensuring seamless integration into the application for bank account openings.
  2. Improved the recognition accuracy of German ID security features by 60% on average through deep learning and computer vision techniques.
  3. Solved complex business problems and implemented fraud prevention algorithms using deep learning and computer vision, delivering tailored solutions for financial service needs.

Computer Vision Developer

Robert Bosch GmbH

Industrie und Maschinenbau

>10.000 Mitarbeiter

  1. Designed and developed synthetic training data for machine learning models using Blender, creating artificial 3D environments to simulate object-picking tasks.
  2. Applied reinforcement learning techniques to optimize robotic motion planning, improving efficiency and adaptability in dynamic environments.
  3. Developed an object detection solution in Python that performed real-time inference on the Movidius Stick, enabling efficient image capture and decision-making processes in manufacturing environments.

Software Developer

IT Studio Development

Banken und Finanzdienstleistungen

  1. Optimized and extended microservice architecture in a large-scale banking system, ensuring seamless integration with Apache Kafka for real-time event processing.
  2. Implemented robust algorithms and data structures to enhance backend processing speed and ensure reliable data handling.
  3. Developed and executed unit and integration tests using Apache JMeter, ensuring the correctness and reliability of core banking system functionalities.

Research Scientist

Paytomat

Banken und Finanzdienstleistungen

  1. Analyzed cryptocurrency market trends and emerging blockchain projects, assessing investment potential.
  2. Developed a Telegram-based automated alert system to notify users when account balances fell below predefined thresholds, ensuring uninterrupted trading operations.
  3. Applied analytical skills and data-driven insights to assist decision-making in a fast-paced startup environment.

Computer Vision Engineer

Robert Bosch GmbH

Industrie und Maschinenbau

>10.000 Mitarbeiter

  1. Developed AI-driven object recognition algorithms to automate pick-and-place operations for conveyor belt systems, improving efficiency in industrial automation.
  2. Designed and optimized real-time distance calculation methods to accurately determine object positions from camera images, ensuring precise robotic movements.
  3. Implemented a custom HALCON extension for high-speed image capture and storage, enabling seamless integration with machine vision pipelines.

Zertifikate

Academy Accreditation - Databricks Lakehouse Fundamentals

Databricks

2024

Databricks Certified Machine Learning Associate

Databricks

2024

Databricks Certified Machine Learning Professional

Databricks

2024

Microsoft Certified: Azure Data Scientist Associate

Microsoft

2023

Data Visualization with Python

Coursera

2023

Microsoft Certified: Azure AI Fundamentals

Microsoft

2023

Databricks Certified Associate Developer for Apache Spark 3.0

Databricks

2022

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