Fee Pieper
AI Product Manager & Data Scientist
Fee bridges technical depth in ML/AI engineering with strategic product leadership, delivering regulated SaMD solutions and scalable AI systems at the intersection of healthcare and innovation.
Skills
At a glance
3+
Years in Product & AI roles
6+
ML/AI Projects delivered
40%
Improvement in key product metric (IAM flow)
7
Cloud & Agile Certifications
Work Experience
AI Product Management Consultant
DryLabz (AI Healthcare Startup) · 02/2026 – 04/2026
Designed end-to-end product management processes for regulated Software as Medical Device (SaMD) environments, translating MDR 2017/745 and EU AI Act compliance requirements into actionable PM frameworks. Architected FHIR data integration for ML/SaMD products and delivered structured regulatory documentation including Technical File, Software Development Plan, and requirements traceability matrix.
Data Science & AI — Intensive Program
Ironhack Berlin · 01/2025 – 01/2026
Designed and deployed end-to-end AI/ML solutions spanning NLP, Computer Vision, and MLOps using TensorFlow, PyTorch, LangChain, and HuggingFace Transformers. Built automated data pipelines and serverless inference systems on AWS Lambda with Docker and Kubernetes; applied MLflow for model tracking and CI/CD practices.
IT Senior Consultant & Product Owner
MHP Management- und IT-Beratung GmbH · 07/2022 – 01/2025
Drove end-to-end feature ownership across B2B IAM platform roadmap, redesigning the organisational verification flow to achieve +40% completion rate improvement. Established as internal PM expert, leading agile adoption through SAFe, PI Planning, and mentoring across 10-person program; coordinated cross-unit rollouts across 3 Program Increments yearly.
Customer Success Manager
Lemon One GmbH · 11/2017 – 04/2019
Managed key accounts including Treatwell and Engel & Völkers, achieving 3× revenue growth. Built and optimized customer communication flows in HubSpot and Salesforce to drive engagement and inform product decisions.
Key Projects
Regulated SaMD Product Foundation (DryLabz)
Established compliance framework for RADICAL SaMD under MDR 2017/745, translating multi-standard requirements (ISO 13485, IEC 62304, ISO 14971, EU AI Act) into PM processes, user story templates, and Technical File documentation. Delivered Notified Body–ready deliverables and PM Playbook.
AI-Powered Museum Audio Guide
Built multi-stage computer vision pipeline combining perceptual hashing, vector search (Pinecone), and GPT-4o Vision for visually impaired users. Integrated conversational AI and text-to-speech; deployed end-to-end on Hugging Face Spaces via Gradio.
Gold Price Forecasting — MLOps Pipeline
Designed and deployed automated end-to-end MLOps pipeline on AWS using ARIMA, XGBoost, LightGBM, and Random Forest models. Tracked experiments via MLflow and implemented CI/CD practices for scalable model serving.
Key Achievements
- Designed FHIR/HL7 interoperability architecture and data integration strategy for healthcare AI products under strict regulatory constraints.
- Improved critical product flow by 40% through systematic UX and requirements redesign in B2B IAM platform.
- Mentored national and international teams in agile methods, PM processes, and cross-functional collaboration at enterprise scale.