- Blog
- CV generator
- Community
- Documentation
Szymon Kocot
Katowice, Poland
I enjoy solving problems with the latest state of the art data science and machine learning solutions.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
64.3
CodersRank Rank
Top 6%
Top 50
Jupyter Notebook
Developer
Poland
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
40.1
exp.
Python
15.9
exp.
HTML
1.2
exp.
List your work history, including any contracts or internships
Bright Coders' Factory
Feb 2021 - Sep 2021 (7 months)
Machine Learning Engineer
Designing and building solutions for AI-accelerated transport solutions with SOTA computer vision and sensor technologies.
Elmiko Biosignals Sp. z.o.o. Full-time
Aug 2019 - Feb 2021 (1 year 6 months)
Machine Learning Engineer
R&D Epimarker project: "Application of new methods of diagnosis and treatment of epilepsy and neurodevelopmental disorders in children based on the clinical and cellular model of epilepsy dependent on the MTOR pathway" (NCBiR "STRATEGMED III - Prevention and treatment of civilization diseases")
mbits imaging Contract
Jul 2018 - Sep 2018 (2 months)
Deep Learning Software Developer Student Trainee
- Content-Based Image Retrieval app for medical Imaging
- Scalable processing and generator pipeline for image data
- Encoding engine using InfoVAE
- Search engine with approximate Nearest Neighbours (annoy)
- Scalable processing and generator pipeline for image data
- Encoding engine using InfoVAE
- Search engine with approximate Nearest Neighbours (annoy)
Add some compelling projects here to demonstrate your experience
Analysis of EEG signals for the automated detection of limb movement using deep recurrent neural networks.
Mar 2018 - May 2019
- Hybrid CNN-LSTM architecture with pretraining
- Physionet’s EEG Motor Movement/Imagery Dataset
- ICA filtering for noise removal
- Physionet’s EEG Motor Movement/Imagery Dataset
- ICA filtering for noise removal
RTG baggage object detection using YOLO architecture (Govtech Polska contest project)
Nov 2018 - Dec 2018
14th position
Application of deep learning techniques (convolutional neural networks) in the automated segmentation of brain tumours.
Mar 2017 - Dec 2017
Tiramisu fully-convolutional architecture for multi-class MRI image
semantic segmentation implemented in Keras. BRATS dataset was used
for training and validation.
- Brain Tumor Segmentation using Fully Convolutional Tiramisu
Deep Learning Architecture
- “Application of convolutional neural network - deep learning - as
an efficient technique for automated segmentation of high-grade
gliomas.” (2017) Proceedings of the XXIII National Conference on
Applications of Mathematics in Biology and Medicine
- “Application of fully convolutional deep neural networks – as an
efficient technique for automated segmentation of gliomas.” (2017)
Gliwice Scientific Meetings, Book of poster abstracts
semantic segmentation implemented in Keras. BRATS dataset was used
for training and validation.
- Brain Tumor Segmentation using Fully Convolutional Tiramisu
Deep Learning Architecture
- “Application of convolutional neural network - deep learning - as
an efficient technique for automated segmentation of high-grade
gliomas.” (2017) Proceedings of the XXIII National Conference on
Applications of Mathematics in Biology and Medicine
- “Application of fully convolutional deep neural networks – as an
efficient technique for automated segmentation of gliomas.” (2017)
Gliwice Scientific Meetings, Book of poster abstracts
This section lets you add any degrees or diplomas you have earned.
Politechnika Śląska w Gliwicach
Master of Science in Engineering (MScEng), Biotechnology (Bioinformatics)
Jan 2018 - Jan 2019
Graduation project - “Analysis of EEG signals for the automated detection
of limb movement using deep recurrent neural networks.”
of limb movement using deep recurrent neural networks.”
Politechnika Śląska w Gliwicach
Bachelor of Engineering (BEng), Biotechnology (Bioinformatics)
Jan 2014 - Jan 2018
Participation in scientific conferences: Proceedings of the XXIII National Conference on Applications of Mathematics in Biology and Medicine (oral presentation), Gliwice Scientific Meetings 2017 (poster session).
Graduation project - “Application of deep learning techniques
(convolutional neural networks) in the automated segmentation of brain
tumours.”
Graduation project - “Application of deep learning techniques
(convolutional neural networks) in the automated segmentation of brain
tumours.”
Machine Learning Modeling Pipelines in Production
Aug 2021
Introduction to Machine Learning in Production
Jul 2021
Machine Learning Data Lifecycle in Production
Jul 2021