I’m responsible for the overall technology strategy, innovation, consultancy and business development. In TM Data, we help our clients by co-innovating with them, starting from the initial data strategy for data-driven business value creation, up to the final, pragmatic technology implementation based on Artificial Intelligence (AI), Machine Learning (ML), and Data Science techniques enabled by Big Data Engineering platforms running on flexible cloud systems.
Before founding TM Data, I worked as the first Data Officer in Atlas Copco, a complex international manufacturing environment, contributing to the data strategy initiatives and projects, utilizing Agile project management, functional analysis, business process analysis, data modeling, data management, industrial IoT systems, Data Lake analytics, machine learning, and cloud computing.
I’m comfortable communicating at the CxO level, as well as at the technical level with software & data engineers, architects, researchers, and data scientists in a globally distributed setting. With 21+ years of experience, and having worked as a data officer, data architect, data engineer, project/team lead, and software engineer in different countries, my projects & domains ranged from manufacturing, big object storage technology development, ERP systems, to e-learning, computer assisted language teaching, space industry, medical informatics, original , telecom systems, and media.
With respect to technology, my recent work utilized Amazon Web Services (AWS), Amazon Mechanical Turk, Microsoft Azure, distributed NoSQL solutions such as Cassandra, petabyte-scale S3-compatible object storage systems such as HGST Active Archive, Big Data technologies such as Hadoop, and Natural Language Processing & Semantic Web data pipelines and knowledge graph databases in Spark, using Java, Python and Scala.
My formal academic background is in mathematics, engineering, and cognitive science.
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I also blog at Father in a Strange Land about my fatherhood experience.
Some Selected Publications