Michał Górski
Machine Learning Engineer at Spyrosoft
Katowice, Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolMichał Górski is a Machine Learning Engineer with nine years of experience and five years focused on applied AI, MLOps and data science across banking, insurance, FMCG and software. He designs and deploys production-grade ML pipelines in cloud environments (Azure, AWS), automates Data Science workflows with MLflow and Alibi Detect, and has delivered end-to-end ML products for finance and risk teams. At ING he built operational credit-risk and forecasting solutions and translated domain expertise into robust, distributed training pipelines; at Accenture he scaled deployments and experiment management for Fortune 500 clients. Now at Spyrosoft he continues to specialize in cloud-native MLOps, while his background in control engineering and robotics gives him a pragmatic systems-oriented approach to latency-sensitive and IoT-related ML tasks. Colleagues describe him as adaptable across industries and focused on turning complex analytics into reliable business impact.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Control Engineering and Robotics, Master of Science - MS, Control Engineering and Robotics at Politechnika Opolska
Polish, English
Github Skills (22)
generative7
ssim7
cnn-keras6
autoencoder6
measurement4
architecture4
artifacts4
deep-learning4
keras4
computer-vision4
signal4
python3
classification3
tensorflow3
object-detection3
Programming languages (4)
Github contributions (5)
MikeG27/BCI_Image_EEG_Generator
Dec 2019 - Dec 2020
The aim of this project is to build generative neural networks architecture in order to generate images based on EEG signal from human brain. For this particular task author use mobile BCI of EMOTIV company in order to get data from human brain.
Contributions:1 release, 2 PRs, 88 pushes in 11 months
brainsignalautoencoderparticularaim
MikeG27/Where-was-my-coffe-cup
Feb 2020 - Feb 2021
"Where is my coffee cup" is a simple research and fun project where computer vision program looking for difference between images and mark them by boundbox
Contributions:14 commits, 12 pushes, 1 branch in 1 year
pythoncoffeevisiondeep-learningdifference-between
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