Peter W. J. Staar

CTO

Zurich, Switzerland16 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Leader in AI for Knowledge at IBM Research
Expert in cloud platforms and knowledge ingestion
Chair of technical steering committee at Linux Foundation

Stackforce AI infers this person is a leader in AI and cloud computing, specializing in knowledge extraction and data science.

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Skills

Core Skills

Technical LeadershipData ScienceSoftware DevelopmentData Analytics

Other Skills

Problem SolvingProject PlansExploratory Data AnalysisAnalytical SkillsTechnical DiscussionsProject TeamsTechnical DirectionArchitecturePerformance ReviewsClarityDatasetsProduct ManagementCoachingComputer ScienceAI methods

Experience

16 yrs

Total Experience

5 yrs 4 mos

Average Tenure

11 yrs 7 mos

Current Experience

The linux foundation

Chair of the technical steering committee of Docling in the Linux Foundation for AI and Data.

Mar 2025 – Present · 1 yr 2 mos · Zürich, Zürich, Schweiz · On-site

I lead the technical steering committee of Docling (https://github.com/docling-project), the leading open-source AI framework for document processing, manipulation and generation.

Ibm

5 roles

Principal Research Staff Member, Master Inventor, Manager of "AI for Knowledge" group

Promoted

Nov 2022 – Present · 3 yrs 6 mos

I lead the group of "AI for Knowledge" which develops the Deep Search platform (ibm.biz/deepsearch). We develop and apply state-of-the-art AI methods for document understanding and knowledge extraction.

Problem SolvingTechnical LeadershipProject PlansExploratory Data AnalysisAnalytical SkillsTechnical Discussions+11

Principal Research Staff Member, Manager of "Scalable Knowledge Ingestion"

May 2021 – Oct 2022 · 1 yr 5 mos

The Scalable Knowledge Ingestion group is tasked with the development of a cloud platform for knowledge ingestion. This platform will be geared to ingest the knowledge from three main sources i.e. databases, complicated documents (PDF, Word, Powerpoint) and data-streams (such as news feeds). The extracted knowledge from these sources will be represented using large scale knowledge graphs. The platform consists of a S/W stack developed for deployment on the IBM Cloud, on multi-cloud environments using Openshift. The target is to cover wider customer deployment needs, aligned with deployment plans from the relevant business units (Watson and Analytics).

Problem SolvingTechnical LeadershipProject PlansExploratory Data AnalysisAnalytical SkillsTechnical Discussions+10

Manager of "Scalable Knowledge Ingestion"

Promoted

Dec 2019 – Apr 2021 · 1 yr 4 mos

The Scalable Knowledge Ingestion group is tasked with the development of a cloud platform for knowledge ingestion. This platform will be geared to ingest the knowledge from three main sources i.e. databases, complicated documents (PDF, Word, Powerpoint) and data-streams (such as news feeds). The extracted knowledge from these sources will be represented using large scale knowledge graphs. The platform consists of a S/W stack developed for deployment on the IBM Cloud, on multi-cloud environments using Openshift. The target is to cover wider customer deployment needs, aligned with deployment plans from the relevant business units (Watson and Analytics).

Problem SolvingProject PlansExploratory Data AnalysisAnalytical SkillsTechnical DiscussionsProject Teams+10