Expertise
Data Modeling
SQL, NoSQL and Graph based data modeling practices for IoT, Construction and Machinery Industry. Timeseries data management, design of KPIs for data-driven business strategies
Cloud (Native) Data Engineering
Design, automation of data pipelines for batch and stream processing. Serverless e2e data pipeline development with Cloud (AWS), Cloud-Native (Kubernetes) solutions and CI/CD tools
MLOps
Design, development and automation Machine Learning lifecycle with MLFlow and Kubeflow. Cloud and on-premise (K8s) MLOps solutions with CI/CD tools
Experience
Software Engineer, Machine Data Platform Development
Konecranes
10/2017-Ongoing
Big Data Platform Development and Data Engineering for Machine IoT systems
IoT Data Streaming Services Design and Implementation
API Development for IoT Datalake, Data-Driven Digital and Diagnostics Services
Management of Research Studies for IoT Data Standards
Featured Projects
VisuaLynk: Semantic Data Aggregation and Visualization
SaaS platform that collects, aggregates, and visually presents data from IoT devices and BIMs. It is also capable of analyzing building information with AI and machine learning algorithms. Proprietary project owned by VisuaLynk Oy.
Latest Articles
Kubernetes Patterns: The Daemon
A daemon is a process that runs in the background. Typically, a daemon does not produce visible output to the user; it does not accept inputs. In this blog, we will investigate typical features of Daemons.
Kubernetes Patterns: The Cron Job Pattern
A cron job is simply a command, program, or shell script that is scheduled to run periodically. In this post, we will investigate the cron jobs on Kubernetes
Kubernetes Patterns: The Batch Job Pattern
In this post, we will investigate different Jobs patterns that application in Kubernetes clusters.