Toni Kiuru
Applied AI & Machine Learning | Data Engineering | Industrial Processes
"A curious lifelong learner from Finland. I find inspiration in building and developing impactful systems to drive growth."
What I Do
I’m a Senior Process Engineer who builds the data and AI systems driving semiconductor manufacturing. Holding an M.Sc. from Aalto University, I’ve been working in the industry since 2012.
My role bridges the physical and the digital. On the physical side, I own a wafer manufacturing process area, qualify products, manage process changes statistically, and lead development projects from initial experiment to approved production rollout. On the digital side, I lead manufacturing automation projects and build the data pipelines and predictive models that run in live production to deliver measurable value. Ultimately, the statistics used on the fab floor and the machine learning models are the exact same discipline—just pointed at different problems.
Highlights
- 40% reduction in scrap costs within a single year, leading initiatives that reached historically high yields.
- Yield up every year: when I joined, overall yield was 96% and falling. Today it is above 98.5%, and the next target is 99%.
- AI in production: predictive maintenance pipelines and deep learning defect classification running on real process data.
- Statistical qualifications: new equipment and process changes qualified with DOE, capability studies (Cp/Cpk), and Gage R&R — criteria set before the run, not after.
- Automation that prevents mistakes: leading a machine automation project where data collection and automated operational workflows make the process enforce the right sequence, rather than trusting it to memory.
- Engineering + ML: first-principles intuition from a physical-sciences background combined with modern data engineering and modeling.
- Live demos: a full-stack Rust + React biometrics app, end-to-end data platforms, and RL agents you can try in the browser on the Projects page.
Explore
- About Me: my background, philosophy, and how I bring engineering rigor into AI.
- Experience: Murata, Aalto University, Okmetic — process ownership, statistical qualifications, automation, and AI in production.
- Projects: live demos, full-stack web apps, data pipelines, reinforcement learning, image classifiers.
- Skills & Education: technical stack, degrees, and certifications.
Get in Touch
I am always open to discussing new opportunities, collaborations, or just chatting about tech and science.