Experience

Fathom.io

• Saudi Arabia
• Software Development
• 1 - 100 Employee

• Lead Data Scientist

  • Feb 2022 - Present

  Working on MLOps tool which allows: - easily EDA for data (partially automatic) - automatic discovery shift in data - data engineering with feature store - easily create/maintain/monitor ML experiments - quickly deploy/monitor ML models Working on MLOps tool which allows: - easily EDA for data (partially automatic) - automatic discovery shift in data - data engineering with feature store - easily create/maintain/monitor ML experiments - quickly deploy/monitor ML models



CVT - Creating Value with Tech

• Poland
• IT Services and IT Consulting
• 1 - 100 Employee

• Lead Data Scientist - co-founder

  • Jul 2020 - Dec 2022

  in the project, I am responsible for: 1) Lead the DS/ML projects 2) Creating the data infrastructure - create the data models, creating and managing the ETL process with Airflow, Beam, Prefect, Feast, Seldon 3) Mentoring the team The project I was working on: - NER - Text classification Tools I used: - FastAPI - Prefect.io - Spacy/FastText/Transformers/SentecneTransformers in the project, I am responsible for: 1) Lead the DS/ML projects 2) Creating the data infrastructure - create the data models, creating and managing the ETL process with Airflow, Beam, Prefect, Feast, Seldon 3) Mentoring the team The project I was working on: - NER - Text classification Tools I used: - FastAPI - Prefect.io - Spacy/FastText/Transformers/SentecneTransformers



LogicAI

• Poland
• IT Services and IT Consulting
• 1 - 100 Employee

• Senior Data Scientist

  • Sep 2020 - Jan 2022

  Working on creating the product which allows to: 1. Connect to kafka 2. transform data in real time 3. use the prediction model on transformed data 4. send data to kafka In this project we created the Feature Store for Kafka and general approach to serving models Using technology: - Kubernetes (setup from scratch) - Seldon - ksqldb - clickhouse - kafka - fastapi - psql - superset Working on creating the product which allows to: 1. Connect to kafka 2. transform data in real time 3. use the prediction model on transformed data 4. send data to kafka In this project we created the Feature Store for Kafka and general approach to serving models Using technology: - Kubernetes (setup from scratch) - Seldon - ksqldb - clickhouse - kafka - fastapi - psql - superset



Holohome

• Poland
• IT Services and IT Consulting

• Data Scientist

  • Jan 2021 - Dec 2021

  Create a recommendation system for furniture - based on images, user behaviour, user history, room view. Create a recommendation system for furniture - based on images, user behaviour, user history, room view.



Banacha Street

• Poland
• IT Services and IT Consulting
• 1 - 100 Employee

• Lead Data Scientist

  • Jul 2020 - Sep 2021

  Working on projects as a Lead Data Scientist. in the project, I am responsible for: 1) Lead the DS/ML projects 2) Creating the data infrastructure - create the data models, creating and managing the ETL process with Airflow and Beam 3) Mentoring the team Working on projects as a Lead Data Scientist. in the project, I am responsible for: 1) Lead the DS/ML projects 2) Creating the data infrastructure - create the data models, creating and managing the ETL process with Airflow and Beam 3) Mentoring the team



TensorCell

• Poland
• Software Development
• 1 - 100 Employee

• Researcher

  • Nov 2019 - Mar 2021

  Working on optimization traffic lights in Warsaw. Main task: 1) create the code and run the experiment with simulated annealing and adaptative simulated annealing using the simulator and prediction methods Technology: Python, Click, LightGBM, PyTest, RESTApi Algorithm: Simulated annealing algorithm Working on optimization traffic lights in Warsaw. Main task: 1) create the code and run the experiment with simulated annealing and adaptative simulated annealing using the simulator and prediction methods Technology: Python, Click, LightGBM, PyTest, RESTApi Algorithm: Simulated annealing algorithm



Codility

• United Kingdom
• Software Development
• 100 - 200 Employee

• Task creator

  • Apr 2019 - Mar 2021

  Create recruitment tasks for Data Scientists / Machine Learning Engineers Create recruitment tasks for Data Scientists / Machine Learning Engineers



CV Timeline

• Poland
• Staffing and Recruiting
• 1 - 100 Employee

• Tech Lead Data Scientist

  • Jan 2020 - Jul 2020

  Working on projects like:1) Creating the data infrastructure - create the databases in Postgresql, creating the data warehouse on Google BigQuery, creating and managing the ETL process with Airflow on Google Composer, Beam2) Data Scientist - find the pattern in structured and unstructured data from CV's - find the pattern for tenure prediction, normalize the skills and job titles working with FastText, LightGBM, ADASYN, TomekLink - build own language model with Spacy based on data from the resumes.3) BI - creating the reports for business in tableau and datastudio4) Making the stress tests with locust, make the recommendation of what should be improved5) Manage / Mentoring the team6) Creating the plan for DS / ML projects in the company7) Deploy the models with the Google Prediction8) Using XAI methods for the production models to explain the decision. Show less

• Senior Data Scientist

  • Mar 2019 - Jan 2020

  Working on projects like:1) Creating the data infrastructure - create the databases in Postgresql, creating the data warehouse on Google BigQuery, creating and managing the ETL process with Airflow on Google Composer2) Data Scientist - find the pattern in structured and unstructured data from CV's - find the pattern for tenure prediction, normalize the skills and job titles working with FastText, LightGBM, ADASYN, TomekLink,...3) BI - creating the reports for business in tableau and datastudio 4) Making the stress tests with locust, make the recommendation of what should be improved Show less



YND

• Germany
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Scientist Consultant

  • Feb 2019 - Dec 2019

  Working on projects related to:1) Computer vision - real-time video analysis / deep learning / OpenCV / Sklearn image /pytorch - like face recognition / face spoofing recognition mechanism / object detection / object localisation2) Analysing and learning from graph information - find the pattern in graph data / search graph for new interesting connection3) deep text analysis to find pattern / categorisation 4) Blockchain economy, token design, token engineering, ICO preparing, token generation, governance mechanism in the decentralized apps, incentivization mechanism for decentralized appsAlso, I was a speaker on Data Scientist Summit 2018 and Big Data conference in Warsaw (have a 1-day tutorial about basic NLP with Big Data on SPARK)#machinelearning #datascientist #deeplearning #blockchain #tokenengineering Show less

• Data Scientis / Data Scientist Blockchain

  • Sep 2017 - Feb 2019

  Working on projects related to:1) Computer vision - real-time video analysis / deep learning / OpenCV / Sklearn image /pytorch - like face recognition / face spoofing recognition mechanism / object detection / object localisation2) Analysing and learning from graph information - find the pattern in graph data / search graph for new interesting connection3) deep text analysis to find pattern / categorisation 4) Blockchain economy, token design, token engineering, ICO preparing, token generation, governance mechanism in the decentralized apps, incentivization mechanism for decentralized appsAlso, I was a speaker on Data Scientist Summit 2018 and Big Data conference in Warsaw (have a 1-day tutorial about basic NLP with Big Data on SPARK)#machinelearning #datascientist #deeplearning #blockchain #tokenengineering Show less



CleanAI

• Germany
• Information Technology & Services

• Data Scientist Consultant

  • Jun 2018 - Mar 2019

  Working on ML vision object localization and classification Working on ML vision object localization and classification



Webinterpret

• Poland
• Software Development
• 100 - 200 Employee

• Data Scientist / Product Owner Machine Translation Team

  • Oct 2016 - Oct 2017

  Product owner and data scientist in machine translation team. In this team we are responsible for:1) quality of machine translation2) build new machine learning services to size conversion, localization of products, categorisation of products on ebay and amazon...

• Data scientist

  • Mar 2016 - Oct 2016

  Natural Language Processing, Neural Network, DeepNet, Analysis Data, Machine Learning, PostgreSQL, MongoDB, ElasticSearch, Python (sklearn), Spark

• Junior Python Developer

  • Jul 2015 - Mar 2016

  Working on natural language processing.



CZMIS IBS PAN

• Data Scientist

  • Oct 2014 - May 2015

  Programming , Big Data, Data analysis, Machine Learning, Time series analysis,

• Junior Data Scientist

  • Nov 2013 - Oct 2014

  Develop, Big Data, data analysis. Machine Learning, time series analysis,



Uniwersytet Jana Kochanowskiego w Kielcach

• Higher Education
• 1 - 100 Employee

• Teacher

  • Oct 2010 - Sep 2013

  Lecture: maths, economics, programming, Lecture: maths, economics, programming,



MaxiPizza S.A.

• Kielce

• Developer

  • Oct 2007 - Oct 2011

  Responsible for: 1) Creating web site (managing online orders) 2) Create internal system to manage a company 3) Create system to manage the orders 4) Create system like POS Responsible for: 1) Creating web site (managing online orders) 2) Create internal system to manage a company 3) Create system to manage the orders 4) Create system like POS