Specialization
Piotr Piotrowski specializes in Generative AI with a focus on SDLC. He brings extensive experience in Project Management and Product Ownership. He also brings deep knowledge in Programming and Team Leadership.
Piotr has guided major technical initiatives across various professional sectors. He successfully directed confidential projects within the global automotive industry. He also managed implementations for the German Department of Justice.
His professional credentials include the Certified SAFe 5 Agilist designation. He also holds recognized Professional Scrum certifications for agile practices. These qualifications demonstrate his ability to drive successful AI transformations.
Experience
Agile Delivery Lead and AI Lead
| HicronOwner
| Piotr Piotrowski ConsultingTechnical Project Manager
| ATOSTechnical Project Manager
| manaTec GmbHSolution Architect
| ARTS Deutschland GmbHSoftware Development Engineer
| Nokia Siemens NetworksDatabase Designer
| Business IT SolutionsKey Projects
Quality Control of After-sales
He successfully directed confidential projects within the global automotive industry. He delivered a quality control system for the automotive industry. This application utilized Java and Angular technologies.
German Department of Justice
Guided the delivery of an administrative system. A European justice department uses this Java application for its daily operations.
Private Cloud Infrastructure Migration
He oversaw infrastructure delivery and cloud migration for a pharmaceutical enterprise. These projects utilized programming technologies like Java and Angular frameworks.
Featured Articles
When AI PoC Evaluation Justifies Further Investment
An AI PoC evaluation is valid when three conditions hold before the experiment begins: success criteria include a frozen economic baseline, test data is validated independently of the team against…
How to Use AI Safely in Your Company
Safe AI adoption in a company is an organizational and technical discipline that governs what data enters language models, how outputs are reviewed, and how teams retain the competence to…
How Should Enterprises Govern Gen AI Before Scaling LLM Adoption?
Generative AI governance is the combination of policies, technical controls, and organizational practices that define how an enterprise manages data classification, compliance obligations, and accountability when deploying large language models…
How RAG Architecture Changed: From PDF Chatbots to Context Engineering
RAG (Retrieval-Augmented Generation) is an AI architecture approach that connects a language model to external knowledge sources so it can generate answers grounded in specific documents or organizational data. The…
What Is the Production Control Stack for AI-Generated Code?
The Production Control Stack is a framework for making AI-generated code safe to ship by combining three layers: checklists before generation, tests before deployment, and observability after release. It exists…
Get in touch