Piotr Płoński
Founder at MLJAR, Inc.
Łapy, Podlaskie, Poland
Summary
🤩
Rockstar🎓
Top SchoolPiotr Płoński is a founder and software engineer with over a decade of experience building production-grade machine learning tools and AutoML systems. He leads MLJAR and is the author of the Mercury framework and a principal contributor to mljar-supervised, work that has been integrated into the OpenML AutoML benchmark. Piotr pairs academic rigor (PhD-level research and a stint as an assistant professor) with hands-on engineering—implementing model serving backends in Django, porting Keras models to C++, and containerizing deployments. Based in Poland, he focuses on end-to-end ML pipelines without compromise on performance, and often tackles the gritty integration bugs and target-type edge cases that many AutoML projects overlook.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Informatyka, Doctor of Philosophy (PhD) Informatyka at Warsaw University of Technology
Stackoverflow
5,459reputation
1.8mreached
147answers
4questions
tensorflow
top-5%
machine-learning
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keras
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scikit-learn
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save
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python
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Github Skills (34)
api-rest10
benchmark10
convolutional-neural-networks10
c-language10
python10
api-design10
restful-api10
django10
scikit10
machine-learning10
benchmarking10
keras10
automl10
scikit-learn10
neural-network10
Programming languages (11)
Github contributions (5)
pplonski/my_ml_service
Oct 2019 - Aug 2022
My Machine Learning Web Service
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 20 commits, 2 PRs in 2 years 10 months
Contributions summary:Piotr primarily contributed to building a machine learning service. Their work focused on setting up the backend Django project, implementing ML models using Python and libraries like scikit-learn, and creating endpoints for model serving. They defined the models for the service, including endpoints and ML algorithm metadata. Furthermore, the user integrated the ML model with the backend, wrote tests, and added Docker definitions to aid in deployment.
web-serviceflaskpythonmachine-learning
pplonski/keras2cpp
May 2016 - Apr 2020
This is a bunch of code to port Keras neural network model into pure C++.
Role in this project:ML Engineer
ML EngineerContributions:24 commits, 9 PRs, 37 pushes in 4 years
Contributions summary:Piotr appears to be primarily focused on porting a Keras neural network model to pure C++. Their commits demonstrate the implementation of C++ classes and functions to load and compute the output of a Keras model. This includes defining data structures, implementing layer functionalities (Convolution2D, Dense, Activation, MaxPooling, Flatten), and handling model weight loading from a file. The user also included example code and a testing framework to validate the ported model's functionality.
cppkeras-modelsdeep-learningpure-cneural-network
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