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Jiri Borovec
Prague, Czechia
I have been working in Machine learning and Data science for several years in a few different IT companies. In particular, I enjoy exploring interesting world problems and solving them with state-of-the-art techniques. I have developed several open-source python packages, I am the core contributor of PyTorch-Lightning and actively participating in other well-known projects.
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.
1,643.8
CodersRank Rank
Top 1%
Based on:
20 eventsTop 50
JavaScript
Developer
Czechia
Top 1
Jupyter Notebook
Developer
Czechia
Top 1
Python
Developer
Czechia
Highest experience points: 0 points,
0 activities in the last year
Python
1,109.2
exp.
Jupyter Notebook
165.6
exp.
JavaScript
110
exp.
Shell
66.7
exp.
HTML
50.5
exp.
JSON
16.9
exp.
CSS
26.7
exp.
List your work history, including any contracts or internships
Illuminate AI
Mar 2021 - Jun 2021 (3 months)
Mentor
Grid.ai | PyTorchLightning
1 year 4 months
Senior Research Engineer
Jan 2021 - Jun 2021 (5 months)
Founding Team Member
Feb 2020 - Jun 2021 (1 year 4 months)
PyTorch Lightning
1 year 8 months
Lead Contributor
Feb 2020 - Jun 2021 (1 year 4 months)
Developing new features and maintaining bugfixes.
Serving to the community and mentoring new contributors.
Created complete CI/CD infra for open-source.
Serving to the community and mentoring new contributors.
Created complete CI/CD infra for open-source.
Core Contributor
Oct 2019 - Jun 2021 (1 year 8 months)
https://github.com/PyTorchLightning/pytorch-lightning
Add some compelling projects here to demonstrate your experience
Automatic Non-rigid Histological Image Registration (ANHIR)
Sep 2018 - Apr 2020
In digital pathology, it is often useful to align spatially close but differently stained tissue sections in order to obtain the combined information. The images are large, in general, their appearance and their local structure are different, and they are related through a nonlinear transformation. The proposed challenge focuses on comparing the accuracy and approximative speed of automatic non-linear registration methods for this task. Registration accuracy will be evaluated using manually annotated landmarks. All methods are supposed to run fully automatically, with no image specific parameters.
Automatic analysis of spatial gene expression patterns
Jan 2013 - Dec 2016
The aim of this project is processing large sets of microscopy images for a systematic survey of spatiotemporal gene expression patterns of Drosophila ovaries and larval imaginal disc. The key idea is to automatically group genes with similar spatiotemporal expressions in order to decipher the gene regulatory networks underlying the patterning of the tissues, with applications for modeling human disease conditions. We shall attempt to address the whole image processing pipeline from identification of candidate objects, high-resolution 3D volume acquisition, segmentation, alignment, pattern extraction, clustering, annotation, all the way to the automatic discovery of the relationships within the data.
Healthcare analyses
Feb 2015 - Dec 2015
Analyses of early embryo development for IVF.
This section lets you add any degrees or diplomas you have earned.
Czech Technical University in Prague
Doctor of Philosophy - PhD, Artificial Intelligence
Jan 2011 - Jan 2018
Focus: machine learning, image processing, optimisation, data analyses
Thesis: Automatic analysis of gene expressions of Drosophila microscopy images (supervised by prof. Jan Kybic)
Prototyping and developing computer vision and image processing tools. Publication of scientific papers and reviews on international conferences (ISBI 2013, ISBI 2014, ACCAV 2016, MICCAI 2017, ICIP 2018)
Thesis: Automatic analysis of gene expressions of Drosophila microscopy images (supervised by prof. Jan Kybic)
Prototyping and developing computer vision and image processing tools. Publication of scientific papers and reviews on international conferences (ISBI 2013, ISBI 2014, ACCAV 2016, MICCAI 2017, ICIP 2018)
Telecom ParisTech
Research Methodology and Quantitative Methods
Jan 2015 - Jan 2015
Scientific Research Method: Techniques, Models and Practices.
MOOC platforms (Massive Open Online Courses)
Computer Science
Jan 2014 - Jan 2015
Online courses provided by best universities in the world. Additional personal development.
Université Paul Sabatier (Toulouse III)
Master's degree, I.U.P. Systèmes Intelligents
Jan 2009 - Jan 2011
Master Systèmes Intelligents - Focus: computer science, robotics, image processing, advanced programming techniques, user interfaces and automatic control;
Thesis: Fusion of heterogeneous data for better positioning of visually impaired pedestrians
Projects: Navigation Assistée par VIsion embarquée et GNSS (NAVIG)
Thesis: Fusion of heterogeneous data for better positioning of visually impaired pedestrians
Projects: Navigation Assistée par VIsion embarquée et GNSS (NAVIG)
Technická univerzita v Liberci
Master's degree, Mechatronics, Robotics, and Automation Engineering
Jan 2008 - Jan 2012
Projects: Streaming images between Server and Client app; GUI for Glass property; Analysis of efficiency and optimization system for generating energy using a piezoelectric transducer
Technická univerzita v Liberci
Bachelor's degree, Elektronické a Informační systémy
Jan 2005 - Jan 2008
Focus: Mechanic, Automatic & Programming.
Thesis: Graphic visualization of scene and control of mobile robot.
Thesis: Graphic visualization of scene and control of mobile robot.
FCE - First Certificate in English
Feb 2014