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Danylo

Python developer

Город проживания:
Киев
Готов работать:
Удаленно

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DANYLO BOBRITSKII
Python Backend Developer
LinkedIn • [открыть контакты](см. выше в блоке «контактная информация»)[открыть контакты](см. выше в блоке «контактная информация») • @danylobobritskii • GitHub

ABOUT

Python Backend Developer with 4+ years of experience delivering backend solutions across CRM, SaaS, and AI-powered
products. Specialized in Python, Django, FastAPI, and LLM integrations, with expertise in backend architecture, workflow
automation, and document processing. Experienced in building scalable systems that streamline business operations and improve
productivity through automation.

SKILLS

Languages: Python, JavaScript
Backend: Django, Django REST Framework (DRF), FastAPI, REST APIs, JWT Authentication, OpenAPI / Swagger, Celery,
RabbitMQ
AI & LLM: OpenAI API, Claude API, DeepSeek API, RAG (Retrieval-Augmented Generation), AI-assisted Document
Processing
Databases: PostgreSQL, Redis
DevOps & Tools: Docker, Docker Compose, Git, Linux
Automation: Selenium
Frontend: React, HTML, CSS

PROFESSIONAL EXPERIENCE

Fullstack Developer GlobalLogic NOV 2024 - Present

Project 1
Designed and developed an AI-powered SaaS platform that automated LinkedIn lead generation, profile analysis, and prospect
qualification, helping businesses identify high-quality leads more efficiently
● Designed the solution architecture and built the backend foundation for an AI-driven lead generation platform, enabling
scalable automation and future product growth.
● - Developed a Selenium-based LinkedIn data collection pipeline, automating prospect discovery and reducing lead
research time from several minutes to seconds.
● Integrated the DeepSeek LLM to analyze LinkedIn profiles and automate lead qualification, reducing manual lead
evaluation by approximately 64.2%.
● Designed and implemented REST APIs supporting AI analysis, lead management, and seamless frontend integration.
● Built asynchronous background processing workflows for data collection and AI analysis, improving automation
reliability and supporting concurrent processing of lead generation tasks.
Technologies: Python, Django, Django REST Framework, Selenium, DeepSeek API, PostgreSQL, Docker Compose, REST APIs

Project 2
Developed an AI-powered platform for construction companies that automated tender document analysis, document management,
and AI-assisted document generation.
● Collaborated with business stakeholders to gather requirements and translate business needs into technical solutions.
● Developed backend services integrating Claude-powered AI agents for tender analysis, document summarization, and
document generation.
● Built document processing workflows, enabling up to 4x faster document review and accelerating tender preparation.
● Contributed to solution architecture and implemented REST APIs supporting AI workflows and frontend integration.
● Participated in production deployment and environment maintenance, ensuring reliable platform operation.
Technologies: Python, FastAPI, Claude API, AI Agents, React, Docker Compose, VPS Hosting, REST API
Python Developer SoftServe July 2022 - Nov 2024

Developed a CRM platform for a real estate company, streamlining lead management, customer communication, invoicing, and
internal business operations.
● Designed and implemented a centralized customer communication module, consolidating client interactions into a unified
workflow and reducing manual communication effort for sales teams.
● Developed an automated invoice generation system with configurable reporting periods, reducing invoice preparation
time from hours to minutes and minimizing manual processing errors.
● Contributed to backend architecture and database design, optimizing data models and improving query response times by
up to 22% for core CRM operations.
● Refactored legacy backend modules, reducing technical debt and accelerating feature delivery by 10% to 30%.
● Designed and implemented REST APIs supporting customer management and financial workflows, while resolving
production issues to improve platform stability and reduce recurring support requests.
Technologies: Python, Django, Django REST Framework, PostgreSQL, Redis, Celery, Docker, Git, REST APIs

EDUCATION LANGUAGE

Kyiv National University of Trade and Economics (KNUTE) English B2
Computer Science

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