CTO Resume Sample

Leading a group of 8 researchers and engineers to develop a system for effective hair transplant (procedure planning and surgical assistance). Co-investigator funded by the National Centre for Research & Development (NCRD) of Poland and in total responsible for a grant worth USD 2.09M (PLN 8.44M). Technologies used: C++, Nvidia, DirectX, OpenCV, Boost C++ Libraries, GTSAM, numerical and statistical methods, Arduino

Research and software development of algorithms focused on image analysis: hair-to-hair matching, 3D reconstruction, serial 3D reconstruction. Technologies used: C++, OpenCV, Boost C++ Libraries, GTSAM, numerical and statistical methods.

Founded the structure of the new Computer Science Department in the University organization. Elaborated the successful application to the Polish Accreditation Committee. Responsible for recruitment of the teaching staff, syllabuses, programme, innovative solutions for interdisciplinary research combined with practical applications.

Leading a group of 20 researchers and engineers to develop an autonomous AI-based cybersecurity solution to protect institutions against account takeover attacks (ATO). Principal investigator funded by the National Centre for Research & Development (NCRD) of Poland and in total responsible for a grant worth USD 2.55M (PLN 10.26M).
Technologies used: Python, pandas, numpy, scikit-learn, SQL, PostgreSQL, statistical methods.

Building a service-oriented architecture to meet the long-term vision of implementation of an IP marketplace. Responsible for every technical aspect of the company’s problem/solution and day-to-day development. Researching and implementing AI features that improve the quality of the system and product to meet the user’s needs.
Technologies used: Python, pandas, numpy, scikit-learn, Cloud (Amazon Web Services).

Research on atomic swap algorithms in application to the exchange of computing power into tokens and vice versa; development of the main application for the macOS; system migration from Qt4 to Qt5.
Technologies used: Python, Qt, Ruby

The main consultant, responsible for preparation of patent database architecture scheme. The aim of the project: to identify uncovered areas of science and technology.
Technologies used: Java, relational database.

The grant recipient from the NCRD in the amount of USD 1.84M (PLN 7.41M), the principal engineer to develop methods of criminal event prediction based on time-series data analysis. Technologies used: Python, pandas, Keras, SPSS, R.

The grant recipient from the NCRD in the amount of USD 1.67M (PLN 6.72M) for building diagnostic hardware-software system for video concentration device, the principal engineer focused on the implementation of the diagnostic (web console for uBoot), configuration, and FSBL update interfaces on the processor with MMC based on Free RTOS. Technologies used: C, Free RTOS, LwIP.

Displacing clunky, useless algorithms used for the detection of micro defects in aviation vehicles developed by the Polish Academy of Sciences’ Institute of Fluid-Flow Machinery: by linearizing the computational complexity turning them into bespoke, scalable algorithms used in the industry today. Technologies used: MATLAB, C, Altera (Intel) FPGA EP2C70 Cyclone II, Quartus

A data scientist in cooperation with Institute of Meteorology and Water Management in Katowice, Poland, responsible for modeling and optimization for further implementation of numerical meteorological methodologies for forecasts of rainfalls. Technologies used: C, R, numerical and statistical methods (including fast Fourier transform)

A data scientist in cooperation with Maria Skłodowska-Curie Institute of Oncology in Warsaw, Poland, responsible for analysis and development of algorithms for the osteosarcoma database. A characteristic feature of this work was an application of a data mining discretization method combined with typical statistical method. The goal: to determine the cut-off parameter of Topoisomerase II-alpha. Technologies used: SPSS, C++.

The main consultant, responsible for providing an optimized database schema design and optimizing core data flows for one of the biggest registers of this kind in Poland. The system is used for central management of personal data and employment records of over 300,000 nurses in Poland.

The contractor, responsible for developing intelligent software for validation and redesigning the database of AIG clients. The technology developed was based on a specific pattern matching algorithm.
Technologies used: CORBA, SQL, Borland C++.