Контактна інформація

Шукач вказав телефон та ел. пошту.

Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/7963023/

Знання і навички

• Python
• Django
• HTML
• CSS
• SQL
• GitHub
• Redis
• Celery
• API
• FastAPI
• PostgreSQL
• MySQL
• MongoDB
• Scrapy
• Selenium
• Playwright
• Socket
• Docker
• Nginx
• Знання принципів ООП
• Django Rest Framework
• REST

Знання мов

• Англійська — вище середнього
• Українська — вільно

Додаткова інформація

SheepFish 2022 - PRESENT

Backend Developer

Responsibilities:

Backend Development:
Designed backend architectures for web services and CRM using
Django, DRF, and FastAPI.
Developed secure RESTful APIs for efficient data exchange.

Database Management:
Created and optimized database structures in PostgreSQL and
MySQL.
Enhanced query performance, reducing data processing time.
Code Optimization and Refactoring:
Refactored legacy code for improved stability, scalability, and
speed.

Project Management:
Created technical roadmaps based on project requirements.
Collaborated with clients to define specifications and managed the
development lifecycle.

Mentorship and Team Collaboration:
Mentored junior developers and conducted code reviews.
Provided technical expertise in system architecture discussions.

Data Scraping and Automation:
Developed scalable data scraping services for various applications.
Automated processes by integrating third-party APIs.

Client Communication:
Collaborated with international clients, delivering customized
solutions.



Freelance Developer 2021-2022

Worked on data scraping projects for analytics
Developed a scraper for over 20 sources to support a sports event
prediction project.
Implemented logging and reporting systems, automating data
collection processes.


KEY PROJECTS

Project "Taim.io"

A chat bot designed to offer sage guidance on selecting, planting, and nurturing flora, tailoring its recommendations to
the user's unique climate, experience, and essential plant conditions.
A thorough analysis and refactoring of existing code to enhance the speed and stability of the system.
Optimization of pivotal database queries, resulting in a significant reduction in data processing time.
Development of a strategic roadmap for the project's future evolution, including a modular framework for
seamless integration of new features.
Launch of an updated system version, now faster, more stable, and effortlessly scalable.

Project "AISO"

A CRM system crafted for a local marketing company, aimed at automating business processes and harmonizing with
existing tools.
Designed the entire system architecture from the ground up, ensuring alignment with the client's needs and
scalability.
Implemented core functional modules: order management, analytical report creation, and task automation
across other platforms via API.
Deployed the system to servers and configured the environment for uninterrupted operation.
Provided ongoing support post-release.
Parsing service for real estate
A scraping service that gathered data from 15 diverse sources for subsequent use by another real estate service.
Utilized Scrapy for swift and effective handling of multiple data sources.
Implemented transparent process logging to facilitate easy tracking of system status and errors.
Developed interactive dashboards to showcase key metrics and the real-time status of collected data.

CRM for warehouse management

This project was conceived to oversee product management, track analytics, market trends, and compare prices with
competitors.
Maintained product balances in warehouses, with the ability to add and edit items.
Provided analytical tools to compare prices with competitors and identify sales trends.
Integrated with external marketplaces to synchronize product data.

GPT extension for Chrome

A project focused on weaving the GPT assistant into the browser experience.
Integrated with the ChatGPT API to forge an extension that responds to user inquiries, automates text
generation, and enhances grammar.
Created a feature for image generation based on user prompts
Created system for retraining the GPT assistant based on successful cases.