Professional Summary
AI advisor and researcher with a Ph.D. in Information Technology and 20+ years of experience spanning academia and industry across Europe and Asia. Currently driving AI transformation as Senior AI Researcher and AI Advisor at Haaga-Helia University of Applied Sciences, where I combine hands-on technical expertise with strategic advisory capabilities.
I have advised hundreds of companies on AI adoption—from use case identification and ROI assessment to implementation of production-ready solutions. As an AI Advisor for the Finnish AI Region (FAIR) project, I bridge the gap between cutting-edge AI research and practical business applications. My current research focuses on LLMs and AI agents for knowledge extraction, processing, and generation. Proven track record in securing EU and national funding, publishing peer-reviewed research, and translating cutting-edge AI into practical business solutions.
Core Competencies
Technical Skills
| AI/ML Development | Build, fine-tune, retrain, and deploy AI/ML models; model evaluation, testing, and optimization |
| Generative AI | LLMs, RAG systems, AI agents, MCP; LangChain, LlamaIndex, LangGraph, OpenAI SDK, Claude SDK |
| Programming | Python, C/C++, MATLAB, CUDA C; TensorFlow, Keras, PyTorch, scikit-learn |
| Full-Stack Dev | Python + FastAPI, React + Vite; REST APIs, cloud deployment, MLOps |
Professional Experience
- Advised hundreds of companies on AI use case selection, business value assessment, and implementation of ethical, responsible AI solutions
- Conduct AI needs analysis and maturity assessments to evaluate organizational readiness for AI initiatives
- Develop AI adoption roadmaps, including capability building, technology selection, and governance frameworks
- Provide technical guidance on AI/ML model building, data strategies, generative AI (LLMs, RAGs, AI agents), and regulatory compliance
- Build proof-of-concepts and MVP-grade AI/ML solutions for companies to validate ideas and support investment decisions
- Assist companies in refining and validating AI ideas and support in funding applications
- Lead research on structured knowledge extraction, analysis, and processing using large and small language models
- Develop generative AI frameworks for enterprise knowledge management and industrial workflow automation
- Design AI capability assessment models and digital transformation plans for higher education institutions
- Analyze AI adoption trends in Nordic and global markets; conduct applied research and build solutions for industry partners
- Secure funding and manage R&D projects (EU, regional, international); author successful grant applications
- Supervise master's and undergraduate theses with industry collaboration; publish peer-reviewed research