MLOps & Platforms
Designing reproducible training, CI/CD for models, and observability for real-world drift.
I design and deploy enterprise-grade ML systems for regulated industries. PhD in optimization; 10+ years shipping production ML. Limited availability (+180€/hr).
Focused, senior-level impact on critical ML initiatives.
Designing reproducible training, CI/CD for models, and observability for real-world drift.
Evaluation-first LLM apps, secure retrieval, guardrails and latency-optimized inference.
Optimization & simulation to turn predictions into measurable business actions.
Model compliance, bias audits, and documentation for regulated environments.
Developing a scalable chatbot ecosystem for customer service, including RAG, agent and multi-agent systems, and custom MCP integrations. Building infrastructure to support dozens of bots, with a focus on compliance, observability, and operational scalability.
Delivered machine learning–based underwriting solutions, including scalable MLOps infrastructure and best practices for generative AI and synthetic data pipelines. Strong focus on regulatory compliance, network security, and operational efficiency.
Developed a machine vision system for the Finnish Environment Institute (SYKE) to automatically classify and segment river imagery, enabling near real-time climate monitoring.Read more
I developed multi-agent models to predict and optimize large crowd dynamics, with the aim of preventing crowd disasters. The research was featured in leading Finnish media outlets such asHelsingin Sanomat andMTV Uutiset, and was introduced in anAalto University press release. More information can be found on thededicated research website.
Helsinki-based, working with financial institutions and insurance companies. Limited availability.