Position: Python Developer
Category: Python
English level: upper
Years of experience: 0

One of the significant projects I have worked on is implementing the YOLO (You Only Look Once) computer vision algorithm in the context of a CV (computer vision) project. Specifically, I utilized the YOLOv4-tiny model and the Darknet53 architecture for object detection tasks. The project involved collecting and curating a comprehensive dataset for training, which included data collection, labeling, and classification of various objects of interest.

With the YOLO algorithm, I was able to achieve real-time object detection with impressive accuracy and speed. The project required a strong understanding of neural networks, image processing, and data management. Through this experience, I gained proficiency in utilizing frameworks like Darknet and leveraging pre-trained models to customize and fine-tune them for specific detection tasks.

Furthermore, while the YOLOv4-tiny and Darknet53 models provided excellent results, I have an eagerness to explore other advanced models such as Mask R-CNN and YOLOv7. These models offer additional capabilities like instance segmentation and improved object detection accuracy. By experimenting with these models, I aim to enhance my expertise in computer vision, expand my understanding of different approaches, and stay at the forefront of the field.
Over the course of two hackathons in 2022 and 2023, I gained valuable experience in both C# development, Python development and leadership roles. In the first hackathon(HYS enterprise), I contributed as a C# developer, working on a Discord bot. This opportunity allowed me to enhance my skills in backend development and web applications. In the subsequent hackathon(IFNUL/Softserve), I took on the role of a captain-manager and Python developer. Our team worked on a telegram bot "Teacher Rater" for the University. As an additional project on Django I have created a simple finance tracker. For over a half year I have being learning machine learning and CV in particular. So I have already created a simple YOLO project, focused on an object detection of cars on satellite images. This experience sharpened my expertise in Python and computer vision. Inspired by these experiences, I aspire to further develop myself as a Python developer and computer vision engineer. With a passion for continuous learning and growth, I aim to contribute my skills to create innovative solutions, and I am eager to explore opportunities in these fields to further expand my expertise and make a meaningful impact.
I am not interested in pursuing a career in the game industry, web design, or embedded engineering. While these fields offer unique opportunities and challenges, my passion lies elsewhere. I am more drawn towards Python development and computer vision, where I can apply my skills and interests in innovative ways. By focusing on these areas, I aim to specialize and excel in my chosen career path, leveraging my strengths and contributing to cutting-edge projects in the field.