Michael Boiman - Quality Engineering & AI Automation Expert • 4+ Years AI Development • 20+ Years Quality Assurance

Quality Engineering & AI Competencies

Quality Engineering & AI Automation

Quality-first automation: Email bots, invoice processing, workflow automation with 80% workload reduction, measurable cost savings, processing time from hours to seconds

AI Quality Engineering Excellence

80% auto-generated tests & test cases, IDE integration, Go/No-Go in minutes instead of hours, 50% less development time, 80% fewer inquiries

Next-Gen AI Protocols & Agentic Systems

MCP & A2A protocol implementation, multi-agent orchestration, JSON-RPC, secure agent-to-agent communication, enterprise-ready

RAG Systems & Enterprise NLP

Vector embeddings, LangChain, Q&A bots, spaCy/NLTK, 95% accuracy, EU standards, contextual intelligence

Multi-Cloud AI Architecture

Azure OpenAI, Google Cloud AI, serverless MLOps, auto-scaling, real-time monitoring, production-grade deployment

Transparency & Business Intelligence

Real-time dashboards, quality visualization, end-to-end monitoring, KPI automation, single source of truth

Career Profile

Quality Engineering & Enterprise AI Expert with 20+ years of quality assurance and 4 years of specialized AI development. Transform business processes through measurable, ROI-optimized quality automation:

🎯 Quality Engineering Excellence

20+ Years QE Expertise: Test automation, CI/CD quality gates, end-to-end monitoring
AI-driven Test Generation: 80% automatically generated test cases, 50% less development time
Quality Dashboards: Real-time monitoring across 10 test tools, Go/No-Go decisions in minutes instead of hours
Performance Testing: JMeter, Gatling, load testing with automated analysis

🚀 Business Impact & ROI

80% workload reduction in automation & invoice processing with measurable cost savings
80% fewer inquiries through transparent quality monitoring systems
Quality-First Automation: Playwright, Cucumber, Gauge integration in CI/CD pipelines

🤖 AI Technology & NLP Excellence

Enterprise LLMs: GPT-4, Claude, Gemini integration with production-grade security
Agentic AI & Protocols: MCP, A2A implementation for multi-agent orchestration
NLP & Document Processing: spaCy, NLTK, Vector Databases (Pinecone, Elasticsearch), 95% accuracy
Multi-Cloud AI Architecture: Azure OpenAI, serverless AI, MLOps, scalable deployment

⚡ DevOps & Technical Leadership

DevOps & CI/CD: GitHub, GitLab, Jenkins, container orchestration, contract testing
Performance & Monitoring: Load testing, incident analysis, Instana, Azure Log Analytics
Full-Stack Development: Java, Python, JavaScript, Swift, 20+ years software architecture
Team Leadership: Scrum Master, Product Owner, Quality Lead for cross-functional teams

PROJECTS & SOLUTIONS

Innovative AI solutions and automation tools

AI-Driven Chatbot for Trade-Fair Interaction

AI & Machine Learning

Python OpenAI GPT-4 Streamlit FastAPI Vector Embeddings

Development of an interactive chatbot using RAG (Retrieval-Augmented Generation), OpenAI GPT-4, Vector Embeddings, Python FastAPI, and Streamlit frontend to optimize user interaction on trade-fair websites.

Email Classification and Processing Workflow

AI & Machine Learning

Python Azure Functions OpenAI GPT-3.5 Microsoft Graph API Elasticsearch Kibana Docker

Complete automation solution with Microsoft Graph API, SAP RFC, Azure Functions (Python), OpenAI GPT-3.5-Turbo, Elasticsearch 8.x, Kibana Dashboards, Docker containers, and GitHub Actions CI/CD - 80% reduction in manual work.

Enterprise AI Consulting: From Strategy to Implementation

Consulting & Strategy

AI Strategy Process Analysis ROI Assessment Implementation Planning Change Management Executive Workshops Quality Engineering

Target Audience: C-Level, Management, Product Owners, Business Analysts

Consulting Services: • Strategy Development: From AI vision to measurable implementation roadmap • Process Analysis: Identification of automation potential, quality-first assessment • ROI Assessment: Business cases, cost savings, amortization calculations • Executive Workshops: Hands-on strategy sessions with live-demo business cases • Change Management: Team adoption, training concepts, resistance management • Implementation Support: From concept to productive AI solution

Deliverables: AI strategy template, ROI calculator, implementation roadmap, executive workshop, implementation support

Quality Dashboard - Real-time Overview

Quality Engineering

Grafana Elasticsearch Python CI/CD Playwright Jira API Confluence API LeanIX PDF Generation

Fully automated end-to-end solution for real-time quality monitoring across 10 test tools, 5 environments plus multi-source integration (Pipeline, LeanIX, Jira, Confluence) for automated PDF reports with open issues, bugs, and technical debt. Impact: -80% inquiries, Go/No-Go decisions in minutes instead of hours.

24/7 Automated Legacy Migration Validator: Dual-Run Quality Engineering

Quality Engineering

Java Cucumber Kibana Graylog Elasticsearch Container CI/CD Mainframe Dashboard Engineering Test Automation

Enterprise Legacy Transformation with Fully Automated Quality Assurance

The Challenge: Complex mainframe price calculation with millions of combination possibilities needed secure migration - without quality loss or data errors.

The Solution: 24/7 Dual-Run Validation System with intelligent deviation analysis • Continuous Testing: Randomly generated tests across all variations around the clock • Real-time Monitoring: Live dashboard with immediate deviation detection on every deployment • Complete Traceability: Every deviation uniquely logged with technical and business context • Automated Root Cause Analysis: Direct access to calculation paths and error sources • Quality Intelligence: Kibana dashboards for end-to-end quality overview

Measurable Impact: Quality metrics improved from 30% to 96% - secure migration without data loss, complete transparency over migration status

wecation

Mobile & Web Development

Flutter Google Cloud Firebase Dart

wecation is a collaborative solution for organising shared experiences: plan, search, coordinate with friends or colleagues and enjoy the activity together! Built with Flutter and Google Cloud.

Developer Workshop: AI-Agent Development & Integration

Training & Workshops

OpenAI GPT-4o Anthropic Claude Google Gemini MCP A2A Playwright JSON-RPC IDE Integration CI/CD

Target Audience: Developers, Technical Leads, DevOps Engineers

Workshop Content: • Hands-on AI Agent Development: Live coding with GPT-4o, Claude, Gemini • Next-Gen Protocols: MCP & A2A implementation for enterprise integration • Browser Automation: Playwright-MCP for automated test generation • IDE Integration: AI assistance in VS Code, Cursor, GitHub Copilot workflows • Multi-Agent Orchestration: JSON-RPC, secure agent communication • Practical Demos: Jira integration, Elasticsearch queries, GitHub workflows

Deliverables: Complete source code, slides, hands-on exercises, production-ready templates

Django SLA Dashboard - Enterprise Service Monitoring

Quality Engineering

Django Python PostgreSQL Chart.js WebSockets Docker REST API

Enterprise SLA Monitoring Dashboard for Service Level Agreements

Development of a comprehensive SLA monitoring system as part of a BKS evaluation project (2023-2025) for monitoring Service Level Agreements with real-time metrics and automated alerting.

Core Features: • Real-time Monitoring: 24/7 monitoring of 24+ services with response time tracking (Ø 147ms) • SLA Compliance: Automatic calculation and visualization of SLA metrics (99.97% availability) • Incident Management: Active incident tracking with medium/low priority classification • Performance Analytics: Response time distribution with detailed histograms (<50ms to >500ms) • Availability Timeline: 24h history with minute-level resolution and trend analysis • Alert System: Proactive alerting for SLA violations and performance degradation

Technical Highlights: • Django 4.2 with async views for high-performance data processing • PostgreSQL with TimescaleDB extension for time-series data • Django Background Tasks for asynchronous processing • WebSocket integration for live dashboard updates • RESTful API for service integration and CSV export • Docker-based deployment with Kubernetes-ready architecture

Impact: 60% reduction in MTTR (Mean Time To Repair), proactive incident prevention through trend analysis

QualityCluster

Quality Engineering

Hugo JavaScript GitHub Actions CI/CD

QualityCluster is an alliance of quality engineers jointly developing better solutions in software quality assurance.
Our goal is to implement more quality through a higher degree of automation.

Automated NLP Analysis of PDF Documents

AI & Machine Learning

Python spaCy NLTK OpenAI GPT-4 PyPDF2

Implementation of spaCy, NLTK, PyPDF2, OpenAI GPT-3.5/4, Named Entity Recognition (NER), and Sentiment Analysis for automated content extraction and classification with 95%+ accuracy.

MCP – Model Context Protocol & A2A

AI & Machine Learning

Python TypeScript LLMs API Integration JSON-RPC A2A Protocol SSE HTTP(S)

Implementation of next-generation AI interoperability protocols: MCP (Anthropic, 2024) - universal standard for secure AI-to-tool connections with JSON-RPC 2.0, officially adopted by OpenAI & Google DeepMind. A2A (Google, 2025) - peer-to-peer framework for agent-to-agent communication with capability-based Agent Cards. Enables both tool integration and multi-agent collaboration in enterprise environments with SSE streaming and secure HTTPS communication.

AI-driven Test Automation

AI & Quality Engineering

Python OpenAI GPT-4 Playwright IDE Integration Jira API

Guideline-based AI agent in IDE with prompt-based test generation from Jira stories. Impact: 80% automatically generated, 50% less development time.

Live Demo Apps

Streamlit Python NLP OpenAI

Interactive Streamlit demonstrations for NLP text analysis and AI-driven document processing.

Professional Experience

Workshop: Development with Generative Language Models

Developer Workshop - Agent-based Software Development

06/2025

Developer Workshop: Comprehensive workshop on modern AI agent development with practical demos and live coding

Workshop Content

Development with LLMs (GPT-4o, Claude, Gemini) and token optimization
Model Context Protocol (MCP) & Agent-to-Agent (A2A) protocol implementation
Agent orchestration with JSON-RPC and multi-agent systems
Browser automation with Playwright-MCP for automated test generation
Live demos: Jira integration, Elasticsearch queries, GitHub workflows
Prompt engineering & rule-based agent control (.cursorrules, instructions)
TDD workflows with AI assistance and automated PR creation
Task Master AI agent for project management and code scaffolding

Technologies & Tools

OpenAI GPT-4o, Anthropic Claude, Google Gemini
Model Context Protocol (MCP), Agent-to-Agent Protocol (A2A)
GitHub Copilot, Cursor, VS Code AI extensions
Playwright, browser automation, web scraping
JSON-RPC, REST APIs, multi-agent communication

Complete workshop with slides, live demos, and practical exercises for modern AI-assisted development workflows.

Presentation: Efficient Documentation through Automation

Enterprise Presentation - AI-powered Documentation Workflows

04/2025

Enterprise Presentation: Demonstration of modern automation approaches for centralized, current documentation and sustainable project success

Key Focus Areas

Single Source of Truth: Central truth in Confluence, avoiding redundant versions
Shift-Left Documentation: Parallel code and documentation development for higher currency
Automation First: Bots and CI/CD jobs for recurring tasks, automatic updates
OpenAPI Documentation: Automatic generation on code merge, Consumer-Driven Contracts
Documentation Debt Management: Dashboard-based visibility, Tech-Debt labels
Automated Quality Assurance: Unit tests, integration, end-to-end reports

Technical Solutions

Template-based standardization with mandatory and optional fields
Label system instead of traffic lights for multi-dimensional filtering (status:draft, domain:payments)
Semantic Release for automatic release notes
Code changes aligned with documentation
KPI/OKR dashboards for measurable progress

Tools & Integration

Confluence, GitHub, Jira, MkDocs, OpenAPI
CI/CD pipeline integration for documentation automation
Monitoring and dashboard creation for Documentation Debt

Platform Quality Architect (CI/CD, Monitoring, Automation)

DVAG

08/2021 – 05/2025

Test management & coordination, as well as introduction of CI/CD with quality-gate setup. Acting as cross-team Quality Lead: onboarding, guidance, consulting and training for the introduction of quality metrics and test automation within the pipeline across teams. Key responsibilities

Design and implementation of functional and technical dashboards with Grafana for real-time quality measurement
Documentation of quality metrics covering the measurable sprint progress
Design and setup of CI/CD pipelines for multiple development teams (backend + frontend)
Introduction of quality gates to safeguard quality within the CI/CD pipeline
Adoption of Gauge (BDD)
Roll-out of Playwright and integration into the existing CI/CD pipeline
Functional and technical incident analysis
Consultancy, design and implementation of solutions for quality-related issues

Tools

IntelliJ / Visual Studio Code
Java / JavaScript / TypeScript
Playwright / Gauge / Taiko / Karate
Python for processing and analysis of test and reporting data
CI/CD / GitHub – reusable workflows
Helm / Containers
JIRA / Confluence
Grafana
Behaviour-Driven Development
Consumer-Driven Contracts (Pact.io)

Technical Lead & AI Automation Architect

BKS

01/2024 – 04/2025

Technical lead & development: Design and implementation of a scalable automation solution for processing e‑invoices and PDF invoices fetched from a mailbox of a leading online job platform. Full responsibility from requirements analysis through implementation to production go‑live.

Focus areas:

Workflow automation: Extraction, analysis and classification of incoming invoices using Python and Azure Functions.
E‑invoice classification & data extraction: Full processing in accordance with EU standard EN 16931 (ZUGFeRD, XRechnung), including structural and content parsing.
Salesforce integration: Forwarding prepared invoice data via email to the downstream system for Salesforce import.
Auditing & logging: Comprehensive documentation of all processing steps plus storage of original email content in the processing log.
Outlook management & SharePoint archiving: Automatic moving and categorising of emails into predefined Outlook folders; archiving of original and generated invoice documents via Microsoft Graph API.
Monitoring & logging: End‑to‑end real‑time monitoring with Kibana, including alerting and dashboard creation.
Team coordination: Managing the developer team incl. code reviews.

Tools & technologies

Azure Functions: Serverless orchestration of automation workflows.
Python: Core logic for data extraction, classification and integration with automated CI/CD processes, packaging, and comprehensive unit and integration tests for quality assurance.
Microsoft Graph API: Access to Outlook mailboxes and SharePoint libraries.
GitHub: Version control, CI/CD pipelines and collaborative development.
Kibana: Monitoring, log analysis and performance dashboards.
Streamlit: For developing an interactive web application for visualization.

AI Engineering Lead & ML Solutions Architect

BKS on behalf of Ryze

04/2023 - 04/2024

Project management & technical lead: Development and deployment of an AI-driven email bot to automate customer communication, AI-assisted processing of incoming emails and triggering of follow-up activities in existing SAP systems. Responsible for end-to-end project coordination and team management from idea to implementation."

Focus areas:

Development of ML models: Design and training of specialized models for effective email classification, implemented via Azure Functions.
API integrations: Seamless connection to Microsoft Outlook 365 via Microsoft Graph API and to SAP systems for customer data checks.
Process automation: Automatic moving of emails based on classification and specific business rules, including complaint handling.
DevOps and monitoring: Implementation of CI/CD pipelines and use of Kibana for monitoring.
Development of a Streamlit-based user interface: Improved testability and visualization of process results.
Team coaching: Technical guidance for developers with regular code reviews and problem-solving sessions.

Tools & technologies

Azure Functions: For serverless application architectures and ML model execution.
Python: Main programming language for the email bot and ML models.
Microsoft Graph API: For accessing and processing emails in Microsoft Outlook 365.
SAP API: For querying customer data and communicating with SAP systems.
GitHub: For version control, CI/CD pipelines and collaborative development.
Kibana: For real-time monitoring and system performance analysis.
Streamlit: For developing an interactive web application for system monitoring.

AI Workshop for Business Integration

Applications of AI in Business Context

2023

AI workshop: Comprehensive presentation and live demonstration of innovative AI applications for business with a focus on practical implementation, theory and code examples.

Presentation content

Comprehensive overview of AI fields and patterns (supervised/unsupervised/semi-supervised learning)
Deep dives into machine learning, deep learning and natural language processing
Detailed look at GPT models and their functionality (next token prediction)
Practical prompt engineering with examples for various use cases
Introduction to tools such as Hugging Face, Stable Diffusion, Midjourney and Auto-GPT

Practical workshop part

Development of an intelligent Q&A bot with OpenAI GPT-3.5-Turbo
Live development of a web scraper for data acquisition
Extraction and vectorization of text embeddings with OpenAI models
Implementation of similarity search for context-based answers
Similarity analysis and visualization of results
Creation of an interactive Streamlit user interface for the Q&A bot

Technologies used

OpenAI API (GPT-3.5-Turbo, Embedding-Ada-002)
Python with Pandas, NumPy and Streamlit
Vector embeddings and cosine similarity for semantic search
Web scraping with BeautifulSoup and Requests
Prompt engineering and AI integration into business processes
Integration via RESTful APIs

The full presentation is available at Pitch.com. The complete source code of the developed Q&A bot is documented in my GitHub repository.

DevOps Quality Lead & Dashboard Architect

DB Vertrieb

01/2017 - 05/2021

Test management, test coordination, test automation – agile (Kanban, Scrum, SAFe): Coordination as PO of a cross-team QA team including cross-team onboarding, support, consulting, training Key responsibilities

Agile quality assurance through the design of quality gates in the CI/CD pipeline
Design and implementation of functional and technical dashboards with Kibana, Graylog, Grafana, Instana & Elastic Search
Introduction of domain-specific logging for microservices to transparently track calculations and service interactions
Performance tests within CI/CD with Gatling / JMeter and analysis using Kibana, Graylog, Grafana and Instana
Documentation of quality metrics on the progress of measurable sprint quality
Design and setup of CI/CD pipelines for data tests
Functional and technical problem analysis
Consulting, design and implementation of solutions for quality-related issues
Setup of Junit, unit tests and integration tests, among others with Java Cucumber
Development of a hybrid app for presenting (reviewing) results on a web or mobile platform
Coordination of integration tests between the involved teams

Tools

IntelliJ
Java
Cucumber / Cypress
JMeter / Gatling
CI/CD / GitLab CI / Jenkins
Helm / Docker
JIRA / Confluence
Kibana / Grafana / Instana / Graylog
Behaviour Driven Development
Consumer Driven Contracts (Spring Cloud Contract)
Ionic (hybrid app)
Selenium

Performance Engineering Lead & Test Architect

DB Systel

09/2015 - 01/2017

Load and performance tests and analysis – test manager, test designer, analyst: Development, execution and analysis of load and performance tests Key responsibilities

Requirements management
Status reports
Customer consulting
Documentation in the form of test concepts, analyses, management reporting and wiki documentation
Setup and execution of load and performance tests
Analysis of results & performance logs

Tools

Visual Studio
Eclipse
JMeter
Git
JIRA / Confluence
Excel & Access VBS
Interfaces: HTTP, WS, REST, MQ, JMS

Senior iOS Developer & Mobile Architect

Telekom

04/2015 - 09/2015

Senior iOS Developer: Further development of the rebuilt version of Deutsche Telekom’s Customer Center App, extension with new functionalities for IFA. Key responsibilities

Swift
iOS 8
Requests & responses to backend
Error handling
iPad / iPhone
Scrum

Tools

Xcode
Git
JIRA

Quality Assurance Lead & Test Automation Architect

Siemens

05/2009 - 03/2015

QA, test management, test automation, requirements engineering: A total of 5 projects were supported as QA & test manager and successfully implemented Projects

SIPCA - Management system for employee annual targets and bonus calculation
STM - Application and travel expense recording (Frontend: Web / Backend: SAP)
GPM2 - Share bonus program for employees (Frontend: Web / Backend: JBoss)
PATAC
SOM - Management and overview of OrgUnits

Key responsibilities

Creation of technical test concepts and test plans
Defect tracking
Management of CRs, communication between customers and developers
Creation, maintenance and scheduling of test automation
User acceptance tests
Training of new testers and test automation engineers
Support as test manager after project completion in regular operation
Setup of acceptance tests
Transfer of functional specification and detailed specification to Quality Center
Monitoring of implemented requirements against the detailed concept

Tools

HP ALM
HP UFT
HP QC
Quick Test Pro

Performance Test Engineer & Load Testing Specialist

ING-DIBA

03/2009 - 05/2009

Load and performance tester: The goal of the project is the design and development of LoadRunner scripts for load testing a bundle of approx. 20 J2EE applications in a banking portal Key responsibilities

Creation of test scripts in LoadRunner with the http protocol
Execution of load tests and analysis of results
Monitoring and reporting

Tools

LoadRunner

Performance Test Engineer & Quality Consultant

British Telecom, Mobiliar, DB-Systel, Sparkassen Informatik, Loyalty Partner, Telekom, Itelium, Deutsche Post, Postbank

01/2006 - 12/2008

Load and performance tester / tester: Various projects, predominantly load & performance tests Key responsibilities

Creation of test scripts in LoadRunner with the http protocol
Execution of load tests and analysis of results
Monitoring and reporting

Tools

LoadRunner