• Leading hands-on GenAI initiatives across retail, healthcare, taxation, energy and HR client engagements.
• Fully shifted to an agentic working model — coding agents (Claude Code, OpenAI Codex, GitHub Copilot Pro, Cursor) as the daily interface, with multi-agent systems and internal software factories as the engineering pattern.
• Currently the largest AI token consumer across the Siili Group (~1000 employees) — using that bandwidth to stress-test agentic delivery in real client engagements and feed the learnings back into the organization.
• Previously AI Principal (Sep 2025 – Jan 2026): the lived case study for the agent-driven engineering practice I now help clients adopt.

• Defining Agentic LLM benchmarks and building practical multi-agent systems. Pre-examination comments received; manuscript finalization by June 2026; public defense and approval in Q3/2026.
• Studying internals of modern LLM architectures — where Transformer-based AI bends and breaks, so benchmarks & agent designs match real model limits.
• Five conference papers in H2/2025. Best paper award PCSI 2025 on AI agents and 2nd best paper CHIRA 2025 on LLMs and agents. Over 25 international publications total.

Core SaaS renewal

• Migrated the core SaaS from an in-house, proprietary NLP stack to a public-cloud, state-of-the-art LLM stack — unlocked GenAI-grade capabilities while cutting operating cost and time-to-feature.

Organization

• Centralized R&D from distributed outsourcing to a Helsinki-focused, senior-loaded team of 15.
• Reported on technology strategy and R&D outcomes to CEO and Board.

AI

• Implemented LLM AI features on AWS for hundreds of production customers processing personal information data.
• Team deployed advanced GenAI design patterns such as Retrieval Augmented Generation (RAG) into production use.

Data & Analytics

• Designed and implemented multi-tenant data analytics platform on AWS using a column-oriented data layout for high-performance OLAP.
• 15× improvement in query speed compared to the previous analytics solution.

AI in International Tax

• Brought AI to international tax for global enterprises — cloud SaaS platform with machine-learning and AI algorithm implementations for transfer pricing.
• Designed the platform's DAG-formatted function graphs — auditable computation graphs that capture transfer-pricing logic across millions of intercompany transactions.
• Drove early production deployment of LLMs and Retrieval-Augmented Generation (RAG) — well before either became mainstream.

Organization & growth

• 30× SaaS revenue increase; workforce expanded sixfold to ~60 employees; R&D of 35 transformed product from PoC to enterprise SaaS.
• Contributed to Series A funding round (€13M); reported strategy and R&D outcomes to the Board.
• Led ISO 27001 and SOC2 / ISAE 3000 Type II certifications; multi-tenant Azure analytics stack (SQL Server, Data Factory, Power BI).

• Responsible for the HUS Data Lake — Azure-based public-cloud AI healthcare platform integrating Apotti / Epic plus 50+ systems; largest in Finland, ~40% of the country's population, ~800M lab results.
• Senior AI in Tieto/TietoEvry CTO Office through the 24 000-employee merger; participated in RFPs up to €300M+.
• Published the most accurate Covid-19 forecasts in Finland across two pandemic waves (2020).

• Senior technical leader through RELEX's unicorn run-up. Hands-on in the largest deployments, where the SaaS platform calculated dozens of billions of forecasts across global retail networks.
• Organized R&D efforts with large hardware manufacturers, pushing in-memory and GPU-accelerated computation; led mathematical AI algorithm development.
• Company grew from ~100 to 600 employees; my org from 30 to 150 persons in 17 technical teams; cloud platform ~300 000 GB RAM, 20 000 cores; AWS/Azure/GCP; ISO27001 + SOC2.

• Company grew from 30 to ~100 employees; created DevOps, QA, agile delivery and 24/7 support organizations.
• Deepened in-memory database (IMDB) forecasting and replenishment algorithms; hands-on across mathematical algorithms, data science and ML models.
• Often embedded directly with the largest international customers — closer to a forward-deployed senior engineer than a traditional director.

• Senior leader at RELEX through ~10 → ~30 employee growth; led the technical delivery of the largest customer engagements while the platform was still maturing.
• Drove product expansion — IMDB calculation engine, retail forecasting algorithms — built from customer needs, sparring closely with the small product-development team.
• Recruited the first DevOps team and stood up SaaS operations and database-design patterns the platform leaned on for the next decade.

• Won 1st prize in innovation competition (€100k) in a group of three.
• Got funding for a €10M LNG ship-conversion project for a customer; ramped down after 2014 oil-price decline.

• Main architect of the Finnish National Special Care cost database — ingests cost-per-patient records from every Finnish hospital, produces combined cost weights across the diagnostic, organizational and time dimensions at multiple aggregation levels.
• Work combined software agents, analytic BI, decision-support systems and data science on national-scale clinical & financial data.
• Nordic DRG expert work: steering group + expert groups as data scientist for NordDRG; lead contributor to the national hospital analytics platform adopted across Finland.
• International conference speaker: PCSI, ICEIS, ESTSP, EDBDT; published in Lääkärilehti.

• Hospital cost-per-patient data warehousing for Finnish hospitals generating €5B+/year in invoices.
• Two-dimensional statistical model condensing clinically and resource-wise similar patient groups.

• Software Agent Researcher studying applied AI / ML, with focus on agents in mobile, context-aware environments — the intellectual ancestry of today's LLM-driven agentic AI.
• Master's & Licentiate's Theses (each 5/5) on software agents and multi-agent systems; international academic publications.

Aalto University, School of Science.