Martin M.-Product Owner AI Learning Platform

Check rate
Experience
Product Owner AI Learning Platform
B2B Tech Scale-Up
- Agile development of a multimodal analysis platform for training materials (video, audio, documents) using Scrum
- Extraction of context-relevant content based on user profiles & competency dimensions
- Personalized delivery of learning content to improve sales performance
- Close coordination with sales teams & stakeholders to validate features
- Use of Gemini, Whisper, Python & JavaScript, deployment on AWS, Perl for scripting data imports
- Integration into existing tools & CRM systems for smooth adoption
- Technologies used: Python, OpenAI, DB tech such as PostgreSQL, CI/CD for AirFlow DAGs, FastAPI
AI Specialist
International Organization
- Agile development and rollout of AI agents for more than 4,000 users worldwide using SAFe
- Responsibility for technical implementation and requirements management
- Development of an agent infrastructure for multiple business areas (Knowledge, Research, Assistance)
- Integration into existing systems via Microsoft Copilot, Copilot Studio and Power Automate
- Deployment of agents on Azure, taking governance and security on Linux systems into account
- Promotion of an AI-ready culture through enablement & change management measures
- Technologies used: Python, OpenAI, DB tech such as PostgreSQL, CI/CD for AirFlow DAGs, FastAPI
CTO Center AI - AI Callcenter Platform
VC backed Venture
- Agile development of a system for generating AI call center agents for Shopify & other shops using Scrum
- Customer support by phone with real-time queries about returns, products & orders
- Architecture design & technical leadership of frontend, backend & database (PostgreSQL) on Linux systems, Perl for scripting data imports
- Development of a RAG system with a real-time API (OpenAI) for semantic answer generation
- Integration of customer policies & product data into agent-specific knowledge bases
- Mobile app development with Kotlin
- Technologies used: Python, OpenAI, LangChain, Qdrant, Supabase, V0.dev
AI Specialist – Bank of Stories
Startup
- Development of an AI agent for conducting interviews & extracting stories
- Storage & structuring of user stories (“Story Banking”)
- Matching stories with user goals to unlock suitable learning modules
- Backend integration of OpenAI for NLU & personalized recommendations using Context-Engineering
- Use of Perl for data preparation and parsing historical data to capture and structure personal life stories
Generative AI Lead EMEA
Logistics/Shipping Corporation
- Development of a RAG system to answer customer inquiries based on internal documents
- Responsibility for requirements management with stakeholders & technical coordination of the development team
- Reduction of manual response times by up to 80% worldwide
- Introduction of the system in several regions with a focus on efficiency and scalability
- Use of Linux expertise (Bash, Shell, file management, processes and networks) for efficient deployment, monitoring and maintenance of the system infrastructure
- Improvement of agent productivity through instant response suggestions from structured knowledge
- Technologies used: Python, Azure Cognitive Search, LangChain, OpenAI, SharePoint, DB tech such as PostgreSQL, CI/CD for AirFlow DAGs, FastAPI
Tech Lead – AI Automation
HSBC
- Development of an AI system to pre-fill Credit Review forms
- Integration of internal databases to automatically answer relevant fields
- Reduction of the error rate by a factor of 10
- Leading the technical implementation, including data pipeline, model architecture & QA
- Use of Linux skills (Bash, Shell, processes and networks) to automate data pipelines and ensure system stability
- Close coordination with Risk & Compliance teams to ensure regulatory requirements
- Technologies used: Python, OpenAI, DB tech such as PostgreSQL, CI/CD for AirFlow DAGs, FastAPI, Perl for scripting data imports
Project Manager
Automotive Supplier
- Development of an ML system for sample classification using Support Vector Machines
- Leadership of an interdisciplinary team of Data Scientists & process engineers
- Integration of the model into quality inspection along the production line
- Improvement of detection accuracy and reduction of manual inspection effort
- Close collaboration with Production IT & plant management
IBM Data Science Manager
Bundesagentur für Arbeit
- Project responsibility & budget growth from 1,6 Mio. € to 2,6 Mio. € annually
- Development of deep learning models to extract structured data from forms
- Agile integration of the models into existing processes with a focus on scalability & security according to SAFe and Scrum
- Introduction of CI/CD pipelines, containerization with Docker & Kubernetes on Linux systems
- Implementation of an MLOps pipeline: MLflow, Kubeflow, Apache Airflow
- Optimization of processing speed & data quality in operational use
Data Scientist / Reinforcement-Learning Engineer
Deutsche Bahn
- Agile implementation (Scrum, Kanban) of a reinforcement learning approach to optimize change processes (shorter cycle times, less rework)
- Definition of the reward function and state/action space; training on historical process data, pilot evaluation
- Development of a service-oriented architecture with FastAPI for inference endpoints; persistence and feature storage in PostgreSQL on Linux systems
- Working in Scrum with IBM Consulting and DB business units
- Result: measurable process acceleration in pilots and a reliable basis for the rollout decision
- Technologies used: Python (FastAPI, NumPy/Pandas), PostgreSQL, CI/CD for Apache Airflow DAGs, Perl for data preparation & parsing of historical data
Data Scientist / ML Engineer
Automotive OEM
- Development of a data analysis pipeline for flow production (cycle time, OEE, quality and downtime analyses)
- Development of ML-based anomaly and drift detection; root cause analysis using feature importance and correlation studies
- Agile development of ETL workflows and REST services with FastAPI; data modeling and persistence in PostgreSQL on Linux systems; creation of internal dashboards
- Close collaboration with Production IT and plant management; introduction of data quality checks and monitoring
- Result: faster identification of disruption causes and reduced downtime in the pilot lines
- Technologies used: Python (Pandas/Scikit-Learn), FastAPI, PostgreSQL, Perl for scripting data imports
Speaker, Founder, Author
GenerativeAI.net
- Conducting practical upskilling workshops for tech & business teams
- Founder of GenerativeAI.net – a leading platform for education & consulting in the field of Generative AI
- Author of the world’s first book on Generative AI: “Generative AI – Wie Maschinen lernen zu schreiben”
- Developer of the first online course on Generative AI (since 2016)
- Focus on application, strategy & transformation through Generative AI
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Education, Information Technology, Professional Services, Government and Administration, Transportation, and Banking and Finance.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Research and Development, Strategy, Product Development, Project Management, and Business Intelligence.
Skills
Industry Experience
- Pharma
- Automotive
- Telecommunications
- Logistics / Supply Chain
- E-Commerce
- Saas / Cloud Software
- Financial Services
- Retail
- Energy
- Media & Entertainment
Consulting Topics And Areas Of Focus
- Ai & Data Strategy
- Generative Ai Productization (Llm Fine-Tuning, Rag, Prompt Engineering, Go-To-Market)
- End-To-End Mlops & Ml Governance (Ci/Cd, Feature Stores, Monitoring)
- Full-Stack & Microservices Development For Ai Products
- Cloud-Native Architectures & Devops Automation (Aws, Gcp, Azure, Kubernetes)
- Scalable Data & Analytics Platforms (Data Lakehouse, Real-Time Streaming)
- Ai Enablement & Change Management In Sales And Operations
- Lean Digital Product & Portfolio Management (Okr, Dual-Track Agile)
- Lean Process Design & Value Stream Optimization
- Responsible Ai, Compliance & Data Protection (Eu Ai Act)
Methods
- Crisp-Dm
- Design Thinking
- Dual-Track Agile
- Lean Startup
- Okr Framework
- Safe / Devsecops
- Domain-Driven Design (Ddd)
- Ci/Cd
- Event Storming
- Value Stream Mapping
- Data Mesh Principles
- Responsible Ai Impact Assessment
Software
- Python
- Typescript
- Node.Js
- Fastapi
- React
- Next.Js
- Pytorch
- Tensorflow
- Hugging Face Transformers
- Langchain
- Mlflow
- Kubeflow
- Apache Airflow
- Docker
- Kubernetes
- Terraform
- Aws (S3, Lambda, Sagemaker)
- Gcp (Bigquery, Vertex Ai)
- Azure (Ml, Openai)
- Databricks
- Snowflake
- Kafka
- Github Copilot
- Cursor Ai
- Amazon Q Developer
- Chatgpt
- Anthropic
Languages
Education
Leuphana University
B.Eng. · Automation & Electrical Engineering · Lüneburg, Germany
Technische University München
M.Sc. · Computational Science and Engineering · Munich, Germany
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Martin is based in Munich, Germany.
Martin speaks the following languages: German (Native), English (Advanced), Polish (Advanced), Italian (Elementary).
Martin has at least 11 years of experience. During this time, Martin has worked in at least 11 different roles and for 11 different companies. The average length of individual experience is 1 year. Note that Martin may not have shared all experience and actually has more experience.
Based on recent experience, Martin would be well-suited for roles such as: Product Owner AI Learning Platform, AI Specialist, CTO Center AI - AI Callcenter Platform.
Martin's most recent position is Product Owner AI Learning Platform at B2B Tech Scale-Up.
In recent years, Martin has worked for B2B Tech Scale-Up, International Organization, VC backed Venture, Startup, and Logistics/Shipping Corporation.
Martin is most experienced in industries like Education, Information Technology, and Professional Services. Martin also has some experience in Government and Administration, Automotive, and Transportation.
Martin is most experienced in business areas like Information Technology, Research and Development, and Strategy. Martin also has some experience in Product Development, Project Management, and Business Intelligence.
Martin has recently worked in industries like Education, Information Technology, and Professional Services.
Martin has recently worked in business areas like Information Technology, Research and Development, and Strategy.
Martin holds a Master in Computational Science and Engineering from Technische University München and a Bachelor in Automation & Electrical Engineering from Leuphana University.
The availability of Martin needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 18 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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