- Directing and supervising a mix of AI, Machine Learning & Data Science research, design, development activities on AI capabilities enhancing Pearson products, services, and processes- Main focus on areas such as LLM, classic NLP/NLU and Computational Psychometrics- Owning team’s R&D roadmap and aligning it to Pearson’s divisions needs- Providing significant input to planning and strategic decisions making direction of AI Learning Capabilities- Developing collaborative ways of working with appropriate stakeholders and provides expertise on how to improve products, services and processes with AI-based capabilities- Leading teams by providing outstanding technical leadership, mentoring, professional development, recruiting and maintaining high organizational health and optimal ways of working- Providing best practice, guidance and acceptance criteria to Product Management, Design, and Engineering teams to ensure design, build & use meets professional standards for AI, Machine Learning & Data Science- Undertaking regular and ad-hoc administrative, financial and legal matters, consistent with directing a high functioning organization and complying with corporate procedures

- Managing, leading, mentoring and coaching a data science team. Also includes managing people managers- Since about the second half of 2021, serving the team as de facto acting director- Creation of Machine Learning-based capabilities used in Pearson platforms and apps- Participating in the design of AI-based features for e-learning platforms- Agile data science projects management- Creation of dashboards accessible for untrained internal data consumers- Recruitment of new team members- Involvement in the selection of tools and services used by my and other teams - Working in a multicultural environment spanning across 14 timezones

- Leading and mentoring less experienced team members- Administrating Linux machines and databases used by the team- Building data ingestion and wrangling processes- Exploring data and finding insights hidden in them- ML models preparation- Creation of dashboards accessible for untrained internal data consumers- Preparation of reports in a form of RMarkdown / Google Docs / MS Office documents- Maintenance of infrastructure used by the team- Participation in the recruitment of the new team members- Working in a multicultural environment spanning across 14 timezones

Wild times when IOKI - a startup that later became Pearson's Poznań office - was still independent

I formed a community to stimulate knowledge exchange among members of the Poznań community focused on data processing. This pertains to the entire spectrum of this field, starting from machine learning and statistical analysis, through business aspects, up to data engineering and MLOps.

Teaching students at post-graduate studies in Big Data. Topics include R language syntax, tidyverse, creating plots, RMarkdown and Shiny,My classes are highly rated by students.