CTO (Chief Technology Officer) Resume Sample

-Led a team of 8 researchers and engineers to develop a system for effective hair transplant planning and surgical assistance.
-Oversaw the entire project lifecycle, from design to implementation, for a grant worth USD 2.09M (PLN 8.44M) funded by the National Centre for Research & Development (NCRD) of Poland.
-Utilized technologies such as C++, Nvidia, DirectX, OpenCV, and Boost C++ Libraries for advanced image processing and system development.
-Applied numerical and statistical methods to enhance the accuracy and efficiency of hair transplant procedures.
-Integrated Arduino for hardware control and automation in medical applications.
Technologies used: C++, Nvidia, DirectX, OpenCV, Boost C++ Libraries, GTSAM, numerical and statistical methods, Arduino

-Conducted research and developed software algorithms focused on hair-to-hair matching and 3D reconstruction.
-Led the development of serial 3D reconstruction techniques for enhanced imaging in medical applications.
-Employed C++, OpenCV, and Boost C++ Libraries for robust image analysis and processing.
-Implemented numerical and statistical methods to support complex data analysis tasks.
-Collaborated with cross-functional teams to ensure seamless integration of software components.
Technologies used: C++, OpenCV, Boost C++ Libraries, GTSAM, numerical and statistical methods.

-Established the structure of the new Computer Science Department and ensured its successful integration into the university organization.
-Developed and submitted a successful application to the Polish Accreditation Committee for the new department.
-Recruited teaching staff and developed syllabuses and programs to meet academic standards.
-Implemented innovative solutions for interdisciplinary research with practical applications.
-Facilitated collaboration between departments to foster a multidisciplinary approach to education and research.

-Led a team of 20 researchers and engineers to develop an AI-based cybersecurity solution for preventing account takeover (ATO) attacks.
-Managed a project funded by the National Centre for Research & Development (NCRD) of Poland, worth USD 2.55M (PLN 10.26M).
-Utilized technologies such as Python, pandas, numpy, scikit-learn, and SQL to develop advanced machine learning algorithms.
-Implemented PostgreSQL for efficient data management and analysis.
-Coordinated with stakeholders to align research objectives with business goals.
Technologies used: Python, pandas, numpy, scikit-learn, SQL, PostgreSQL, statistical methods.

-Developed a service-oriented architecture to support the implementation of an IP marketplace.
-Managed all technical aspects of the company, from problem-solving to day-to-day development.
-Researched and implemented AI features to enhance system quality and user experience.
-Utilized cloud technologies (Amazon Web Services) to ensure scalable and reliable infrastructure.
-Led a team of engineers to deliver innovative solutions that met user needs.at 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).

-Conducted research on atomic swap algorithms for the exchange of computing power into tokens and vice versa.
-Developed the main application for macOS, ensuring smooth system migration from Qt4 to Qt5.
-Utilized Python and Qt for robust application development.
-Collaborated with the research team to integrate new blockchain technologies.
-Enhanced system performance and scalability through continuous optimization.
Technologies used: Python, Qt, Ruby

-Designed the architecture for a patent database to identify uncovered areas in science and technology.
-Provided expert consultation on database design and optimization.
-Utilized Java and relational database technologies for efficient data management.
-Conducted in-depth research to support the development of innovative solutions.
-Collaborated with the development team to ensure seamless implementation of the database architecture.
Technologies used: Java, relational database.

-Led a project funded by NCRD worth USD 1.84M (PLN 7.41M) to develop methods for criminal event prediction based on time-series data analysis.
-Developed diagnostic hardware-software systems for video concentration devices with a grant of USD 1.67M (PLN 6.72M).
-Utilized Python, pandas, Keras, SPSS, and R for advanced data analysis and machine learning.
-Implemented Free RTOS and LwIP for embedded system development.
-Conducted research to optimize criminal event prediction algorithms.

-Developed scalable algorithms for detecting micro defects in aviation vehicles.
-Collaborated with the Institute of Meteorology and Water Management to optimize numerical meteorological methodologies.
-Analyzed osteosarcoma data for the Maria Skłodowska-Curie Institute of Oncology, using data mining and statistical methods.
-Utilized MATLAB, C, and Altera (Intel) FPGA for algorithm development.
-Conducted research on numerical and statistical methods for various scientific applications.
The goal: to determine the cut-off parameter of Topoisomerase II-alpha. Technologies used: SPSS, C++.

-Optimized database schema design for a large-scale register of nurses in Poland.
-Improved core data flows for efficient data management.
-Provided technical consultation to enhance system performance.
-Collaborated with stakeholders to ensure system requirements were met.
-Developed strategies for long-term system maintenance and scalability.

-Developed intelligent software for database validation and redesign.
-Implemented pattern matching algorithms for improved data accuracy.
-Utilized CORBA, SQL, and Borland C++ for database optimization.
-Conducted data analysis to identify and resolve system inefficiencies.
-Collaborated with the development team to ensure seamless integration of new features.
Technologies used: CORBA, SQL, Borland C++.