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Błażej – Python, MLOps, Tensorflow, experts in Lemon.io

Błażej

From Poland (GMT+2)

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Machine Learning EngineerSenior
Hire developer
5 years of commercial experience
Analytics
Banking
Biotech
E-learning
Edtech
Logistics
Supply chain
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Błażej – Python, MLOps, Tensorflow

Błażej's career path is fascinating: he started his education with a bachelor's degree in coaching and counseling, after some time, decided to become an engineer and has not looked back since! He is known for his strong background in data science and machine learning, the experience in MLOps, and a strong interest in working with domains related to the human brain, neurology, and education or other projects that might bring his abilities further in terms of technical expertise!

Main technologies
Python
4 years
MLOps
3 years
Tensorflow
4 years
Additional skills
AWS
PyTorch
AWS CodeBuild
Amazon SNS
Amazon S3
Amazon EC2
Amazon RDS
GitHub Actions
AWS Lambda
NumPy
Matplotlib
Pandas
Django
JavaScript
React
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Senior Machine Learning Engineer
May 2023 - Aug 20233 months
Project Overview

Classification of signal from optic fiber (NDA restricts the rest of the information).

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Responsibilities:
  • Built an optic fiber signal classifier for a proof of concept project for NCBiR after successfully leading the plausible requirements gathering for it;
  • Coordinated the process of data gathering for the next version of the classifier;
  • Worked on building an on-premise machine learning platform for the AI needs of the company.
  • As a result, the metrics of the classifier and its performance were improved significantly.
Project Tech stack:
Python
Tensorflow
Pandas
NumPy
Senior Machine Learning Engineer / MLOps
Feb 2021 - Apr 20232 years 2 months
Project Overview

A platform for students, parents, and teachers to help others with homework questions. The website is intended to strengthen student's skills across subjects such as English, mathematics, science, and social studies.

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Responsibilities:

Blazej's primary responsibility was to act as a tech lead for ML platform creation and deploy a dozen models to production.

  • Architected and built a machine learning platform for NLP on AWS, following Google's MLOps Maturity Levels, including training & evaluation pipeline, model registry, monitoring, batch inference, online inference on Kubernetes, data labeling service;
  • Developed an ETL for data anonymization, which served as a primary source of data for the platform mentioned above;
  • Trained a transformer-based subject classifier model for an internal client;
  • Successfully onboarded and mentored two junior members to the project.
Project Tech stack:
Python
PyTorch
AWS
AWS CodeBuild
AWS Lambda
Amazon SNS
Amazon EC2
Amazon RDS
Amazon S3
GitHub Actions
GitHub
Machine Learning Engineer
Dec 2020 - Feb 20212 months
Project Overview

The main aim of the project was to create models predicting the load of each stock in multiple locations across Europe and to build an analytical dashboard around it.

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Responsibilities:
  • Collaborated with a team of 6 on stock management forecasts PoC project, building an analytical dashboard in Dash;
  • Implemented both the backend and frontend in Dash framework, making it fast and easy to look at both the current state of the stock and the predictions of our model;
  • Presented the solution to the client, which rounded off the PoC phase successfully.
Project Tech stack:
Python
Pandas
NumPy
Matplotlib
Junior Data Scientist/Engineer
Mar 2020 - Nov 20207 months
Project Overview

The project's main goal was to create a web app that automates test data creation for a mobile app project for one of the largest Australian banks. In the end, it was used for producing test data based on the team's specifications.

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Responsibilities:
  • Gathered project requirements from the client, and instead of manually creating packages of data for testing, Blazej proposed, architected, and implemented an automatic solution for the problem;
  • Worked on both: the frontend and the backend side of the app;
  • Provided solutions resulted in the fact that the QA team didn't rely on others to create test data and could automatically form whatever data they required via the application.
Project Tech stack:
Python
Pandas
Django
React
JavaScript

Education

2018
Coaching and Counselling
Bachelor

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