Martin Musiol - Product Owner AI Learning Platform

Q: Where is Martin based?

Martin is based in Munich, Germany .

Q: What languages does Martin speak?

Martin speaks the following languages: German (Native), English (Advanced), Polish (Advanced), Italian (Elementary) .

Q: How many years of experience does Martin have?

Martin has at least 10 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 and 11 months . Note that Martin may not have shared all experience and actually has more experience.

Q: What is Martin's latest experience?

Martin's most recent position is Product Owner AI Learning Platform at B2B Tech Scale-Up .

Q: What companies has Martin worked for in recent years?

In recent years, Martin has worked for B2B Tech Scale-Up , International Organization , VC-backed Venture , Startup , and Logistics/Shipping Group .

Q: Which industries is Martin most experienced in?

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 .

Q: Which business areas is Martin most experienced in?

Martin is most experienced in business areas like Information Technology , Research and Development , and Strategy . Martin also has some experience in Project Management , Business Intelligence , and Product Development .

Q: Which industries has Martin worked in recently?

Martin has recently worked in industries like Education , Information Technology , and Professional Services .

Q: Which business areas has Martin worked in recently?

Martin has recently worked in business areas like Information Technology , Research and Development , and Strategy .

Recommended expert

Munich, Germany

Experience

Mar 2025 - Present

1 year 1 month

Cologne, Germany

Product Owner AI Learning Platform

B2B Tech Scale-Up

Agile setup 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 boost 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 like PostgreSQL, CI/CD for Airflow DAGs, FastAPI

Jan 2025 - May 2025

5 months

Rome, Italy

AI Specialist

International Organization

Agile development and rollout of AI agents for over 4,000 users worldwide using SAFe
Responsible for technical implementation and requirements management
Building 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 with governance and security in mind on Linux systems
Promoting an AI-ready culture through enablement & change management measures
Technologies used: Python, OpenAI, DB tech like PostgreSQL, CI/CD for Airflow DAGs, FastAPI

Oct 2024 - Present

1 year 6 months

Toronto, Canada

CTO Center AI - AI Call Center Platform

VC-backed Venture

Agile development of a system to generate AI call center agents for Shopify & other stores using Scrum
Phone-based customer support with real-time queries on returns, products & orders
Architecture design & technical leadership of frontend, backend & database (PostgreSQL) on Linux systems, Perl for scripting data imports
Building a RAG system with real-time API (OpenAI) for semantic answer generation
Integration of customer policies & product data into agent-specific knowledge base
Mobile app development with Kotlin
Technologies used: Python, OpenAI, LangChain, Qdrant, Supabase, V0.dev

Jun 2023 - Present

2 years 10 months

AI Specialist – Bank of Stories

Startup

Building an AI agent for interview conduction & story extraction
Storing & structuring 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 narratives

Jun 2023 - Mar 2024

10 months

Marseille, France

Generative AI Lead EMEA

Logistics/Shipping Group

Building a RAG system to answer customer inquiries based on internal documents
Responsible for requirements management with stakeholders & technical steering of the dev team
Reducing manual response times by up to 80% globally
Rolling out the system in multiple regions focusing on efficiency and scalability
Using Linux skills (bash, shell, file management, processes, and networking) for efficient provisioning, monitoring, and maintenance of system infrastructure
Improving agent productivity with instant answer suggestions from structured knowledge
Technologies used: Python, Azure Cognitive Search, LangChain, OpenAI, SharePoint, DB tech like PostgreSQL, CI/CD for Airflow DAGs, FastAPI

Jan 2023 - Dec 2023

1 year

London, United Kingdom

Tech Lead – AI Automation

HSBC

Developed an AI system to pre-populate credit review forms
Integrated internal databases for automated filling of relevant fields
Reduced error rate by a factor of 10
Led technical implementation including data pipeline, model architecture, and QA
Used Linux skills (Bash, shell, processes, and networking) to automate data pipelines and ensure system stability
Collaborated closely with risk and compliance teams to meet regulatory requirements
Technologies used: Python, OpenAI, DB tech like PostgreSQL, CI/CD for AirFlow DAGs, FastAPI, Perl for scripting data imports

Jun 2022 - Dec 2022

7 months

Stuttgart, Germany

Project Manager

Automotive Supplier

Developed an ML system for sample classification using support vector machines
Led an interdisciplinary team of data scientists and process engineers
Integrated the model into quality control along the production line
Improved detection accuracy and reduced manual inspection efforts
Worked closely with production IT and plant management

Jan 2020 - Dec 2021

2 years

Nuremberg, Germany

IBM Data Science Manager

Federal Employment Agency

Responsible for projects and grew the budget from €1.6M to €2.6M per year
Developed deep learning models to extract structured data from forms
Integrated models into existing processes in an agile way, focusing on scalability and security using SAFe and Scrum
Introduced CI/CD pipelines, containerization with Docker and Kubernetes on Linux systems
Implemented MLOps pipeline: MLflow, Kubeflow, Apache Airflow
Optimized processing speed and data quality in operational workflows

Mar 2019 - Jul 2019

5 months

Frankfurt, Germany

Data Scientist / Reinforcement-Learning Engineer

German Rail

Implemented a reinforcement learning approach in an agile setup (Scrum, Kanban) to optimize change processes (shorter throughput times, less rework)
Defined reward function and state/action space; trained on historical process data; conducted pilot evaluation
Built a service-oriented architecture with FastAPI for inference endpoints; used PostgreSQL on Linux systems for persistence and feature storage
Worked in Scrum with IBM Consulting and DB specialist departments
Result: measurable process acceleration in pilot phases and a solid basis for rollout decisions
Technologies used: Python (FastAPI, NumPy/Pandas), PostgreSQL, CI/CD for Apache Airflow DAGs, Perl for data preparation & parsing of historical data

Jun 2018 - Feb 2019

9 months

Munich, Germany

Data Scientist / ML Engineer

Automotive OEM

Built a data analysis pipeline for assembly line production (cycle time, OEE, quality, and downtime analysis)
Developed ML-based anomaly and drift detection; root cause analysis using feature importance and correlation studies
Developed ETL workflows and REST services with FastAPI in an agile way; data modeling and persistence in PostgreSQL on Linux systems; created internal dashboards
Collaborated closely with production IT and plant management; introduced data quality checks and monitoring
Result: faster identification of issues and reduced downtime on pilot lines
Technologies used: Python (Pandas/Scikit-Learn), FastAPI, PostgreSQL, Perl for scripting data imports

Jan 2016 - Present

10 years 3 months

Speaker, Founder, Author

GenerativeAI.net

Conducting hands-on upskilling workshops for tech and business teams
Founder of GenerativeAI.net – a leading platform for education and consulting in generative AI
Author of the world's first book on generative AI: “Generative AI – How Machines Learn to Write”
Developer of the first online course on Generative AI (since 2016)
Focus on application, strategy, and 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.

Education

Information Technology

Professional Services

Government and Administration

Transportation

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.

Information Technology

Research and Development

Strategy

Product Development

Project Management

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 Focus Areas

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

German

Native

English

Advanced

Polish

Advanced

Italian

Elementary

Education

Leuphana University

B.Eng. · Automation & Electrical Engineering · Lüneburg, Germany

Technical University of Munich

M.Sc. · Computational Science and Engineering · Munich, Germany

Statistics

Experience

Total positions 11

Experience in Education 10 y

Avg length 1 y 11 m

Longest experience 10 y 2 m

Global Experience

Countries worked in 5 (Germany, Italy, Canada, France, United Kingdom)

Primary country Germany

Expertise

Recent roles Product Owner AI Learning Platform, AI Specialist, CTO Center AI - AI Call Center Platform

Main industries Education, Information Technology, Professional Services

Main business areas Information Technology, Research and Development, Strategy

Qualifications

Highest degree Master

Profile

Created

September 2025

Last Update

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Martin based?

Martin is based in Munich, Germany.

What languages does Martin speak?

Martin speaks the following languages: German (Native), English (Advanced), Polish (Advanced), Italian (Elementary).

How many years of experience does Martin have?

Martin has at least 10 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 and 11 months. Note that Martin may not have shared all experience and actually has more experience.

What roles would Martin be best suited for?

Based on recent experience, Martin would be well-suited for roles such as: Product Owner AI Learning Platform, AI Specialist, CTO Center AI - AI Call Center Platform.

What is Martin's latest experience?

Martin's most recent position is Product Owner AI Learning Platform at B2B Tech Scale-Up.

What companies has Martin worked for in recent years?

In recent years, Martin has worked for B2B Tech Scale-Up, International Organization, VC-backed Venture, Startup, and Logistics/Shipping Group.

Which industries is Martin most experienced in?

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.

Which business areas is Martin most experienced in?

Martin is most experienced in business areas like Information Technology, Research and Development, and Strategy. Martin also has some experience in Project Management, Business Intelligence, and Product Development.

Which industries has Martin worked in recently?

Martin has recently worked in industries like Education, Information Technology, and Professional Services.

Which business areas has Martin worked in recently?

Martin has recently worked in business areas like Information Technology, Research and Development, and Strategy.

What is Martin's education?

Martin holds a Master in Computational Science and Engineering from Technical University of Munich and a Bachelor in Automation & Electrical Engineering from Leuphana University.

What is the availability of Martin?

Martin is immediately available full-time for suitable projects.

What is the rate of Martin?

Martin's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.