David Koronczay
Verified Expert in Engineering
Statistics Developer
Budapest, Hungary
Toptal member since August 20, 2020
David enjoys solving new problems, especially those involving unique datasets and that lend themselves to machine learning approaches. These solutions may involve statistics, data science, mathematical modeling, or algorithm development. With a Ph.D. in space physics and jobs at tech companies and beyond (including the translation unit of the European Parliament), he has a diverse range of experience. He is also a great communicator.
Portfolio
Experience
- Bash - 20 years
- Linux - 20 years
- Statistics - 10 years
- MATLAB - 7 years
- Artificial Intelligence (AI) - 7 years
- Python - 7 years
- Data Science - 7 years
- Natural Language Processing (NLP) - 5 years
Availability
Preferred Environment
Git, Linux
The most amazing...
...project I've worked on was a service for real-time measurement of space plasmas around the Earth by analyzing radio signals.
Work Experience
Researcher and Software Developer
Eotvos University, Budapest
- Developed a neural network-based specification and prediction model for the spatial distribution of cold plasma around Earth from sparse measurements and other global time series.
- Developed and implemented an algorithm in MATLAB for automatized detection and a wave inversion model for specific kinds of natural radio signals.
- Optimized the code by rewriting performance crucial parts into C/CUDA (leading to 100x speedup) for running on GPU clusters.
- Wrote and deployed a control environment and job scheduler for running the various parts of the detection and inversion code on different hardware in real time.
- Formulated a statistical model to analyze the processed dataset, leading to scientific results published in peer-reviewed journals.
- Maintained correspondence and gave several public presentations.
Algorithm Developer
Hungarian Academy of Sciences
- Developed a new, machine learning-based inversion framework for modeling the sources of the geomagnetic core field.
- Employed neural networks/image segmentation for initial parameter estimation and genetic algorithms to find optimal solutions.
- Wrote up the results in a manuscript that was accepted for publication in a scientific journal.
Researcher (Contract)
InterMap, Ltd.
- Designed and implemented a point-to-point shortest path algorithm for computing driving directions.
- Designed and implemented data structures for path query and cartographic generalization, necessary for displaying maps and driving direction information.
- Provided market research in the framework of developing a new GIS product/service.
Software Developer
DesignSoft
- Refactored existing code to improve performance and responsiveness.
- Oversaw the creation of scenarios for teaching physics concepts.
- Responded to tickets and implemented feature requests and bug fixes.
Experience
Plasmon
Education
Ph.D. in Space Science
Eotvos University - Budapest, Hungary
Master's Degree in Astrophysics
Eotvos University - Budapest, Hungary
Skills
Libraries/APIs
Scikit-learn
Tools
MATLAB, Git, Tableau
Languages
Python, Bash, C++, SQL, Delphi, R
Paradigms
Automation
Platforms
Linux, NVIDIA CUDA, Amazon Web Services (AWS)
Frameworks
Flask
Storage
Databases, Elasticsearch
Other
Artificial Intelligence (AI), Data Science, DSP, Natural Language Processing (NLP), Neural Networks, Algorithms, Statistics, Generative Pre-trained Transformers (GPT), Digital Signal Processing, Machine Learning, Data Visualization
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