Martin M. - Full Stack | Gen AI | Architecture

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Munich, Germany

Experience

Mar 2025 - Present

9 months

Cologne, Germany

Product Owner AI Learning Platform

B2B Tech Scale-Up

Built a multimodal analysis platform for training materials (video, audio, documents)
Extracted contextually relevant content based on user profiles and skill dimensions
Delivered personalized learning content to boost sales performance
Worked closely with sales teams and stakeholders to validate features
Used Gemini, Whisper, Python and JavaScript; deployed on AWS
Integrated with existing tools and CRM systems for smooth adoption

Jan 2025 - May 2025

5 months

Rome, Italy

AI Specialist

global UN-related organization

Developed and rolled out AI agents for over 4,000 users worldwide
Responsible for technical implementation and requirements management
Built an agent infrastructure for multiple business areas (knowledge, research, assistance)
Integrated into existing systems using Microsoft Copilot, Copilot Studio and Power Automate
Deployed agents on Azure with a focus on governance and security
Promoted an AI-ready culture through enablement and change management initiatives

Oct 2024 - Present

1 year 2 months

Toronto, Canada

CTO Center AI – AI Call Center Platform

Center AI

Developed a system to generate AI call center agents for Shopify and other stores
Provided customer support via phone with real-time queries on returns, products and orders
Led architecture design and technical direction for frontend, backend and database (PostgreSQL)
Built a RAG system with real-time API (OpenAI) for semantic response generation
Integrated customer policies and product data into agent-specific knowledge bases
Technologies used: Python, OpenAI, LangChain, Qdrant, Supabase, V0.dev
Chose a hybrid frontend setup (React + Angular) and led the team through integration
Orchestrated containers with Kubernetes, including Helm charts for streamlined rollout

Jun 2023 - Present

2 years 6 months

AI Specialist – Bank of Stories

Startup Banking/EdTech

Built an AI agent for conducting interviews and extracting stories
Stored and structured user stories ("story banking")
Matched stories to user goals to unlock relevant learning modules
Integrated OpenAI on the backend for NLU and personalized recommendations
Collaborated with a decentralized international development team
Developed a companion mobile client app (Ionic/Cordova) for user onboarding and support, deployed via Firebase

Jun 2023 - Mar 2024

10 months

Marseille, France

Generative AI Lead

international container shipping company

Built a RAG system to answer customer inquiries using internal documents
Managed requirements with stakeholders and led the technical direction of the dev team
Reduced manual response times by up to 80% worldwide
Rolled out the system across multiple regions with a focus on efficiency and scalability
Improved agent productivity by providing instant response 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

Built an AI system to pre-fill credit review forms
Integrated internal databases to automatically populate relevant fields
Reduced error rate by a factor of 10
Led the technical implementation including data pipeline, model architecture & QA
Worked closely with risk & compliance teams to meet regulatory requirements
Set up 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 & process engineers
Integrated the model into quality checks along the production line
Improved detection accuracy and reduced manual inspection efforts
Collaborated closely with production IT & plant management

Jan 2021 - Dec 2021

1 year

Nuremberg, Germany

IBM Data Science Manager

Bundesagentur für Arbeit

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