Martin M. - Full Stack | Gen AI | Architecture

Go to Website

Munich, Germany

Experience

Mar 2025 - Present

7 months

Cologne, Germany

Product Owner AI Learning Platform

B2B Tech Scale-Up

Building a multimodal analysis platform for training materials (video, audio, documents)
Extracting context-relevant content based on user profiles & skill dimensions
Delivering personalized learning content to boost sales performance
Closely aligning with sales teams & stakeholders to validate features
Using Gemini, Whisper, Python & JavaScript, deployed on AWS
Integrating into existing tools & CRM systems for seamless adoption

Jan 2025 - May 2025

5 months

Rome, Italy

AI Specialist

global UN-related organization

Developing and rolling out AI agents for over 4,000 users worldwide
Responsible for technical implementation and requirements management
Building an agent infrastructure for multiple business areas (Knowledge, Research, Assistance)
Integrating into existing systems via Microsoft Copilot, Copilot Studio, and Power Automate
Deploying agents on Azure with a focus on governance and security
Promoting an AI-ready culture through enablement & change management activities

Oct 2024 - Present

1 year

Toronto, Canada

CTO Center AI – AI Call Center Platform

Center AI

Developing a system to generate AI call center agents for Shopify & other stores
Providing customer support via phone with real-time queries on returns, products & orders
Designing architecture & leading technical direction for frontend, backend & database (PostgreSQL)
Building a RAG system with real-time API (OpenAI) for semantic answer generation
Integrating customer policies & product data into an agent-specific knowledge base
Technologies used: Python, OpenAI, LangChain, Qdrant, Supabase, V0.dev
Deciding on a hybrid frontend architecture (React + Angular) and leading the team through integration
Orchestrating containers with Kubernetes, including Helm charts for simplified rollout management

Jun 2023 - Present

2 years 4 months

AI Specialist – Bank of Stories

Startup Banking/EdTech

Building an AI agent for conducting interviews & extracting stories
Storing & structuring user stories (“Story Banking”)
Matching stories with user goals to unlock relevant learning modules
Integrating OpenAI in the backend for NLU & personalized recommendations
Collaborating with a distributed, international development team
Supporting a mobile client app (Ionic/Cordova) for user onboarding & support features, deployed via Firebase

Jun 2023 - Mar 2024

10 months

Marseille, France

Generative AI Lead

international container shipping company

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% worldwide
Rolling out the system in multiple regions focusing on efficiency and scalability
Improving agent productivity through instant answer suggestions from structured knowledge
Technologies used: Azure Cognitive Search, LangChain, OpenAI, SharePoint

Jan 2023 - Dec 2023

1 year

London, United Kingdom

Tech Lead – AI Automation

HSBC

Set up an AI system to pre-fill credit review forms
Integrated internal databases for automated field completion
Reduced the error rate by a factor of 10
Led the technical implementation including data pipeline, model architecture & QA
Collaborated closely with risk & compliance teams to meet regulatory requirements
Built a test pipeline with Jest for API modules and Playwright for end-to-end tests

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 the quality inspection process along the production line
Improved detection accuracy and reduced manual inspection efforts
Collaborated closely with production IT and plant management

Jan 2021 - Dec 2021

1 year

Nuremberg, Germany

IBM Data Science Manager

Bundesagentur für Arbeit

Managed the project and increased the budget from €1.6M to €2.6M annually
Developed deep learning models to extract structured data from forms
Integrated the models into existing processes with a focus on scalability and security
Introduced CI/CD pipelines and containerization with Docker & Kubernetes
Optimized processing speed and data quality in day-to-day operations
Implemented automated CI/CD pipelines on GitLab for model deployments and API services