Andrzej Pisarek
ML EngineerSenior Data Scientist at Shelf
Shelf
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Scientist at Shelf
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have 9 years of experience in machine learning/computer vision projects ranging from academia through startups to big corporations as a machine learning engineer/data scientist. I have strong understanding and attention to scientific rigour. I enjoy building stuff that matters, has exceptional quality and is built in a team of people who inspire each other.
Aalto University
Master's degree, Machine Learning, Data Science and Artificial Intelligence
January 1, 2018 – January 1, 2022
AGH University of Krakow
Bachelor’s Degree, Computer Science
January 1, 2014 – January 1, 2018
Shelf
Senior Data Scientist
December 1, 2024 – Present
Brainly
Senior Data Scientist
July 1, 2023 – November 1, 2024
Krakow Metropolitan Area
Brainly
Data Scientist
September 1, 2022 – July 1, 2023
Krakow Metropolitan Area
Verisk
Lead Data Scientist (Computer Vision)
December 1, 2021 – August 1, 2022
Krakow Metropolitan Area
VirtusLab
Machine Learning Engineer (Computer Vision)
January 1, 2021 – October 1, 2021
Krakow Metropolitan Area
Aalto University
Research Assistant
September 1, 2019 – December 1, 2020
Helsinki Area, Finland
Yelp
Software Engineering Intern
June 1, 2019 – August 1, 2019
Hamburg Area, Germany
Aalto University
Research Assistant
September 1, 2018 – May 1, 2019
Helsinki Area, Finland
ShelfWise
Machine Learning Engineer
September 1, 2017 – September 1, 2018
Kraków Area, Poland
FORNAX.ai
Machine Learning Engineer
October 1, 2016 – August 1, 2017
Kraków, woj. małopolskie, Polska
CERN
Software Engineering Intern
July 1, 2016 – September 1, 2016
Rejon Genewa, Szwajcaria
Introductory Machine Learning workshops
March 1, 2016 – March 1, 2017
We're organizing workshops where participants are trying to understand underlying rules of black box algorithms (like those in scikit-learn) and implement them.
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Natural Language Processing Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from startups (ShelfWise, FORNAX.ai) to larger companies (Brainly, Verisk, Yelp) and research institutions (Aalto University, CERN). This breadth of experience suggests adaptability to different organizational cultures. The project on 'Introductory Machine Learning workshops' indicates a willingness to share knowledge and contribute to a learning environment, which is a positive cultural indicator. The target role of ML Engineer aligns well with the candidate's career progression and specialized skills.
Soft Skills & Operational Fit
The candidate's resume indicates experience in improving internal processes for code and experiment quality, and developer productivity, suggesting an operational mindset. Participation in workshops and giving lectures implies communication and mentorship skills. However, without specific assessment data, a detailed analysis of soft skills and operational fit is limited.