About
Stefan Ojanen
AI Product Leader & Strategy Consultant
Credentials
- Certificate in Agentic AI · Johns Hopkins University
- Product Leader Certification · Product School
- MBA Essentials · London School of Economics
- Certified Expert in Risk Management · Frankfurt School of Finance & Management
Community
Agentic AI Foundation - Berlin
Organiser · 500+ members
MLOps Community - Munich
Co-founder · 600+ members
I started in bank risk and credit, building ML scoring pipelines and automating lending decisions inside regulated FinTechs and at Danske Bank, where I learned that in finance the model is the easy part. Getting it past risk, compliance and audit is the real work.
From there I led AI product at Scorable (explainable AI, acquired), scaled Germany's first AI cloud platform at Genesis Cloud, and ran enterprise AI transformation at Ringier worth around a million Swiss francs a year. I still build hands-on: my own research-grade platform, ProtocolEngine, runs eleven specialised AI agents in production.
That mix is the whole point. I am equally comfortable fine-tuning a model and sitting in a model-risk committee, and I help regulated businesses capture the upside of AI without the downside.
Capabilities
The specifics.
Not a wall of dots. The gaps are the point. Specific systems I've shipped, and where: AML/KYC in banking, custom Transformer/Mamba in trading, the agentic RAG stack in my own R&D.
GenAI & agents
LLM fine-tuning & custom architectures
Custom Transformer / Mamba · OSS fine-tuning
RAG & retrieval systems
BliKI (2M users) · research-grade RAG
Agentic orchestration
Meeting + JIRA agent · agentic dev & ops
Embeddings & vector DBs
pgvector · HNSW
Data science & modelling
ML credit scoring & risk models
Automated credit decisions
Time-series forecasting
Price prediction · trading signals
Predictive & stochastic modelling
IFRS 9 · CLV · credit-loss provisioning
Knowledge graphs
Deterministic information processing
Data & ML infrastructure
Data engineering & pipelines
Bank-grade data infrastructure
MLOps
SageMaker · Vertex · ClearML
GPU & distributed training
H100 · Gaudi2 · multi-GPU
Regulated & risk
AML/KYC & on-boarding automation
90%+ automation, retail & SME lending
GDPR & data governance
Built GDPR-compliant systems before GDPR went live (e.g. banking data mart)
Model risk, audit & risk-aware execution
Risk analysis & management reporting to the board
Teams & culture
The capability has to outlast me.
The fastest way to waste an AI investment is to make it depend on one person. I build high-performing teams and the culture to keep them shipping, so when the engagement ends the capability stays.
- ·#6 Top German Startup Employer, built at Genesis Cloud
- ·Hired and coached product and data-science teams across four companies
