András Czihó
Verified Expert in Engineering
C++ Developer
Budapest, Hungary
Toptal member since September 9, 2020
With a PhD, András has more than 20 years of experience in the design and development of complex software systems. He has extensive experience in C++ in various working environments. He greatly enjoys designing and implementing performant algorithms for solving challenging problems.
Portfolio
Experience
- Windows - 20 years
- Microsoft Visual Studio - 20 years
- Oracle SQL - 20 years
- Standard Template Library (STL) - 20 years
- C++ - 20 years
- Embarcadero RAD Studio - 15 years
- CORBA - 15 years
- Python - 2 years
Availability
Preferred Environment
Windows, Microsoft Visual Studio, Embarcadero RAD Studio, Oracle SQL, C++
The most amazing...
...software I have developed is a 24/7 monitoring and alarming system that has been used now for years to ensure the quality of a mobile network of the country.
Work Experience
Senior Software Developer
Info-M Ltd.
- Designed and developed high complexity software systems.
- Built desktop applications in the field of telecommunication engineering.
- Implemented different specific parts of applications such as right handling module, path finding algorithm, SAP interface, etc.
- Studied unsupervised machine learning methods for anomaly detection.
- Wrote several parts of the user interface application.
- Wrote statistical methods for analyzing big amount of data.
Research Advisor
Technical University of Budapest
- Participated in several local and international research projects.
- Used neural methods to accomplish image processing tasks.
- Wrote publications and presented at international conferences.
Experience
Telecommunication Engineering Software
Real-time Mobile Network Monitoring and Alarming System
The national award-winning software examines the data by means of user-defined rules including tools such as statistical calculations and fuzzy logic. It is also able to make predictions and thus warning the responsible team before the error occurs.
A feasibility study has been also made in order to find unsupervised machine learning methods to autonomously detect unusual patterns in the data. Several algorithms have been proposed to integrate into the system.
Skills
Libraries/APIs
Standard Template Library (STL), Visual Component Library (VCL)
Tools
Microsoft Visual Studio, Grafana, Microsoft Visio
Languages
C++, Python, TypeScript, Visual Basic
Platforms
Windows
Storage
Oracle SQL, InfluxDB
Frameworks
Google Test
Other
Embarcadero RAD Studio, Image Compression, CORBA, Machine Learning, Fuzzy Logic, Neural Networks, Image Processing
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