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

1) Created a fully functional social media web-site from scratch, employing popular technologies such as DRF, React, PostgreSQL, JSON Web Token, Redis, PyTest, AWS, Docker, NGINX, and GitHub Actions. 

2) Developed a comprehensive API for an E-Commerce application, utilizing FastAPI, Jinja2, SQLite, and JSON Web Token, resulting in enhanced efficiency and user experience.

3) Designed and implemented a functional web browser extension that integrates OpenAI's ChatGPT to parse and answer questions from Moodle tests. Leveraged FastAPI and BeautifulSoup to deliver real-time answers within the browser.

4) Completed numerous projects during university studies, covering diverse subjects like OOP, Algorithms and Data Structures, Operational Systems, Software Modeling and Analysis, Organization of Computer Networks, Web Development, Advanced Mathematics, and Computer Architecture.
Created multitude pet-projects, here are my main ones:
1)Postgram
 Postgram is a social media platform that I developed as a  personal project to showcase my
skills in Python backend development. Inspired by popular   social media platforms.
Technologies Used:
- Backend: Python, Django Rest Framework.
- Frontend: HTML, CSS, JavaScript and React for user interface development.
- Database: PostgeSQL for storing user and post                                information.
- Authentication and Authorization: JSON Web Token.
- Caching: Redis for post caching.
- Testing: PyTest for backend testing(30+ tests).
- Deployment: AWS.
Also used Docker, NGINX, GitHub CI/CD.

2)E-Commerce
E-Commerce is a FastAPI project that serves as a backend API for creating products.
Technologies Used:
- Backend: Python, FastAPI.
- Frontend: Jinja2 for email verification.
- Database: SQLite for storing user and product  information.
- Authentication and Authorization: JSON Web Token.

3)MoodleGPT Quiz Master
Google Chrome extension which takes url of moodle test,   parses questions, asks them in
OpenAI`s ChatGPT and shows answers in the browser`s   extension.
Technologies Used:
- Backend: Python, FastAPI.
- OpenAI Engine: Tesxt-Davinci-003.
- Parsing: BeautifulSoup

I also have other personal projects which i created for my University studies(Software Development at Lviv Polytechnic National University), using other
technologies(ASM, C, C++, C#, JS, PHP). You can check them on my github.
As a enthusiastic Python backend web developer, I'm seeking a supportive team with opportunities for learning and growth. I look forward to working on challenging projects, receiving constructive feedback, and being part of a positive work culture that values work-life balance.