Safiya Profile Image

Safiya

I am studying to be a software engineer, I am interested in artificial intelligence and have already developed projects related to it. In my free time I dance, most often jazz-funk, hip-hop and author

I am studying to be a software engineer, I am interested in artificial intelligence and have already developed projects related to it. In my free time I dance, most often jazz-funk, hip-hop and author

Endorsements

Top Earner

About Me

Minsk Radiotechnical Colledge

Class of 2026

Minsk, Belarus

Interests

Product development
Python
Artificial intelligence

Interview Questions

Doe

FinTech App MVP Developer

Doe Profile Image

Please provide links to any available examples in your portfolio of work.

Doe

FinTech App MVP Developer

Doe Profile Image

What tech stack do you think would be best here, given the needs and your personal strenghts / capabilities?

My version of the stack:

1. Frontend (Interface):

- No-code platform (Bubble.io): Bubble allows you to quickly create an intuitive interface with ready-made templates, asynchronous interactions (e.g. notifications, chats) and a built-in database.

- JS for writing plugins to extend the capabilities of the Bubble platform

- Add-on (if customization is needed): HTML/CSS for complex animations or unique components. Know the basics, can customize off-the-shelf solutions.

2. Backend (Logic and Data):

- Python (Django/Flask): My main stack. Suitable for implementing financial logic (budgeting, analytics), integrating with APIs (payment systems, exchanges) and working with AI (if you need to add recommendations for users).

- Databases: PostgreSQL for structured data (users, transactions, goals).

3. analytics: Python (Pandas, Matplotlib) for financial data visualization (e.g., spending/income graphs).

4. asynchronous functions: Telegram bot (Python + Telegram API) because more Telegram can be connected. The bot can send expense notifications, remind you of goals, answer user questions.

Why this stack.

- Speed and budget:

Bubble/Python allows you to launch an MVP in 2-4 weeks.

- Flexibility:

If the project grows, you can gradually migrate logic to Python/Django.

Off-the-shelf API integrations make it easy to add new features.

Doe

FinTech App MVP Developer

Doe Profile Image

Please provide your development experience, especially as it relates to building an MVP app.

I am a technical student, and as part of my studies I have deeply studied key aspects of software development, including architectural patterns (MVC, MVP, MVVM) and project management methodologies (Scrum, Agile) and much more in the course “Software Development Technology”. I successfully applied this knowledge in practice, creating MVP (Minimum Viable Product) for various projects, for example, while writing term papers, or internship projects. I also successfully passed the exam for the highest grade in this subject.

Here some examples of my works:

1. In one of my projects, I developed a system for checking math papers using artificial intelligence in Python and Django. This system simplifies the checking process by allowing students to upload photos of their solutions, which the AI analyzes and points out errors.

2. In addition, I implemented a project to create image manipulation functions using the OpenAI API. This project was developed as a plugin and allows users to interact in a chat format by sending requests and receiving generated images.

3. I also have an unfinished project in Python that responds to text-based user requests using the OpenAI API.

4. I developed a Telegram bot designed to connect users with similar interests in sports. The bot provides information about its main features and allows users to fill out a questionnaire that includes a photo, their sports interests, and a Telegram nickname (kept private).

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