Position: Computer Vision / Data Scientist
Category: Data Science
English level: upper
Years of experience: 2

I consider myself a passionate and disciplined individual, thus these traits always bring success to me. I got accepted to the world-class Charles University with a special scholarship.
As a computer vision engineer, I have a strong background in researching, designing, and implementing innovative algorithms for a variety of projects, including license plate recognition, vehicle make-model detection, and face recognition. My expertise in Python programming and PyTorch deep learning framework has been crucial in developing scalable, robust, and accurate computer vision systems for large-scale datasets.

I have also utilized Nvidia DeepStream technology and RabbitMQ for efficient communication and handling of a vast number of streams in my projects. In my current role, I collaborate closely with stakeholders, researchers, and engineers to drive systems from prototyping to production level, effectively bringing my ideas to fruition in real-world applications.
In my next role, I am looking for a dynamic and collaborative work environment where I can use my skills and experience to make a meaningful contribution to the company's success. I am looking for a position that offers a competitive salary, as well as benefits such as health insurance, vacation time, and opportunities for professional development.

I am open to a variety of responsibilities and am eager to take on new challenges. In particular, I am interested in working on projects that involve the application of my computer vision and machine learning skills, and I am excited to work with a team of talented and passionate professionals.

I am flexible and open to negotiation on certain points, but I believe that a fair and competitive salary is important for the long-term success of both the company and myself. I am confident that with the right mix of responsibilities and support, I will be able to thrive in this role and make a valuable contribution to the team.