Product Cafe

Product Cafe is a cyclical meeting of people involved in the creation and development of products at the intersection of business-ux-technology.

co-founder, organizer

Intuition Machines, Inc.

AI R&D Senior Manager

Kancelaria Prezesa Rady Ministrów (KPRM)

Member of AI Working Group (Grupa Robocza ds. Sztucznej Inteligencji GRAI)

Uniwersytet Kazimierza Wielkiego

As a member of a research team focused on the business dimensions of innovative polyurethane research, my role encompasses a diverse range of responsibilities. I routinely deliver analytical reports, develop and maintain business relationships, support project management activities, and manage project documentation. Additionally, I conduct market research, prepare economic analyses, assess business potential, and perform various other tasks essential to the successful commercialization of our research findings.

Specialist

STX Next

STX Next is Europe’s largest Python software house. With 350+ team members, 350+ projects delivered, and 130+ satisfied clients, the company provides comprehensive software solutions to businesses of all shapes and sizes worldwide. It’s listed as one of the Top Python & Django Developers in the world on Clutch.co. 

Building a machine learning and data engineering department from scratch
Designing a team growth strategy
Managing the team 
Helping team members develop their skills 
Carrying out project estimates
Managing relations with clients
Supervising the development of projects
Building client awareness about STX Next’s AI services
Supporting the Marketing and Sales departments

Head of Machine Learning & Data Engineering

Leading machine learning and data engineering projects
Supporting the technical development of projects
Helping develop AI competencies within STX Next
Supporting the Marketing and Sales departments
Building client awareness about STX Next’s AI services

Machine Learning Consultant

OLX Group

Co-originator of Two In-house Projects:
- Pricing optimization
- Business-driven segmentation for monetization

Both projects were implemented iteratively with very minimal resource investment. These projects were executed in close collaboration with businesses across multiple European countries, resulting in the deployment of both solutions on horizontal and vertical platforms throughout Europe. Additionally, one of the projects attracted interest beyond Europe, leading to discussions about its implementation in the Asian market.

Core ML Engineer:
- Content deduplication

Responsibilities:
- Developing pricing optimization models using statistics and econometrics
- Coding solutions with the machine learning Python stack (scikit-learn, pandas, numpy)
- Implementing ML production solutions based on xgboost deployed in an AWS environment
- Managing ML monitoring solutions using SignalFX
- Analyzing data with R (dplyr, reshape2, ggplot2, plotly, leaflet) and SQL (MySQL, MS SQL)
- Integrating analytical solutions with production systems via API in Flask and Docker
- Gathering business requirements from internal EU departments
- Leading the project
- Developing ETL processes with AWS Redshift, S3, Lambda, Glue, Spectrum, Athena, DynamoDB, Serverless Framework, and Gitlab Pipeline/CI/CD
- Implementing process monitoring with Datadog and Grafana

Data Scientist

Data Ply

Business Responsibilities:
- Serving as CTO & Co-founder to manage the business operations
- Conducting strategic planning
- Gathering business requirements from clients
- Negotiating contract terms

Technical Responsibilities:
- Leading data-related projects
- Managing a team of contractors and delegating tasks
- Implementing data warehouses using PostgreSQL
- Developing ETL pipelines with Redhat, Bash, Piwik, and Pentaho
- Designing data warehouse architecture
- Optimizing data warehouse schemas

Co-founder | CTO | Board Member

BAE Systems Applied Intelligence

As a co-originator, team member, and team lead of three innovative in-house projects, I contributed to:
- Developing a blockchain application for secure storage of insurance data
- Implementing machine learning solutions for fraud detection
- Creating chatbots for intuitive navigation in the NetReveal tool

My main responsibilities included:
- Leading the innovation projects
- Preparing analysis reports in Knitr with R
- Performing feature engineering in R
- Transforming blockchain data using Python
- Loading blockchain data into Oracle/PostgreSQL
- Testing blockchain visualization and social network analysis measures in Gephi
- Preparing and managing the AWS environment with Docker
- Designing databases in Oracle/PostgreSQL

Technical NetReveal Analyst

I specialized in customizing the configuration of the social network analysis tool NetReveal, utilized for fraud detection in the banking and insurance sectors. 

My main responsibilities included:
- Conducting statistical social network analysis using SQL
- Performing data quality analysis and transformation using a SAS-like custom language
- Extending custom ETL processes using Maven and Apache Storm
- Designing and implementing warehouse solutions
- Managing release modes and testing with Jenkins
- Preparing KPI reports

Graduate NetReveal Analyst

Orange Polska

As one of the developers of an internal analytical application designed to become a strategic solution for driving nationwide sales, I contributed to leveraging geo data collected from multiple sources. 

The primary tech stack for this solution includes JEE, GWT Platform, EJB, Hibernate, Solr, Oracle, Maven, and jBoss7.

IT Tools Senior Specialist

Instytut Informatyki Gospodarczej / Business Information Systems Institute 

As a member of the research team, I am responsible for implementing AI solutions in a large-scale project co-funded by the European Commission under the FP7 Information and Communication Technologies Work Programme. My primary areas of focus include Linked Data Analysis, Machine Learning for Linked Data, Data Analysis, and Data Transformation to Linked Data Representation.

Junior Researcher

AI Manager | ProductCafe Poznan | Innovations

Łukasz Grzybowski is an experienced manager of data teams specializing in AI and data engineering, with a background in research, insurance, telecommunications, classified, and cybersecurity sectors. As an entrepreneur and enthusiast of startups, new technologies, and innovations, he has a particular focus on Fintech, IoT, and AI.

He is actively involved with the non-profit organization Product Cafe, which is dedicated to building local and Poland-wide communities that connect individuals at the intersection of business, UX, and technology.

Taplio

Łukasz Grzybowski's Linkedin Analytics

Łukasz Grzybowski

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