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YAROSLAV PSHEDZIAL
Middle Python Backend Developer
Kyiv, Ukraine [открыть контакты](см. выше в блоке «контактная информация») [открыть контакты](см. выше в блоке «контактная информация») github.com/yarpshedzyal WhatsApp: @yaroslavpshedzial

SUMMARY
Middle Python Backend Developer with 3+ years of commercial experience in E-commerce. Focused on building robust
internal CRMs, data pipelines, and integrating LLMs (Anthropic Claude, OpenAI) into production. Strong background in math,
event-driven architectures (Kafka), and cloud services (AWS EC2, Lambda). Driven by delivering scalable, functional
solutions without overengineering.

SKILLS
Languages & Python, FastAPI, Django, Asyncio
Frameworks
Databases & Brokers PostgreSQL, MongoDB, Redis, Apache Kafka
Cloud & DevOps AWS (EC2, Lambda, S3, Boto3), Docker, Git, Linux/Bash
AI & Data Processing Anthropic Claude API, OpenAI API, RAG, Embeddings, MCP (Model Context Protocol), Pydantic,
Pandas
Languages Ukrainian (Native), English (B1 - Intermediate)

EXPERIENCE
Carcosa Invest March 2023 – Present
Middle Python Backend Developer | E-commerce
• Internal CRM System: Developed a comprehensive internal CRM from scratch for cross-departmental operations. Utilized
PostgreSQL and MongoDB for flexible data storage, and implemented Apache Kafka for asynchronous, event-driven
communication between system components.
• AI-Powered Product Search Tool: Designed and implemented an internal search tool utilizing vector embeddings, RAG
architecture, and LLM APIs (Anthropic Claude/OpenAI). Ensured stable and strictly validated outputs using Pydantic and
JSON Schema.
• Product Sorting & Pipeline Model: Built a predictive ranking model and data pipelines to evaluate, filter, and sort high-
potential e-commerce products. Processed datasets using Pandas and orchestrated workflows via AWS (EC2, Lambda,
S3).
• MCP Server Configuration: Configured and deployed a Model Context Protocol (MCP) server to provide automated,
context-aware AI assistance tailored specifically for the Customer Service and Advertising departments.

EDUCATION & COURSES
Big Data Lab January 2024 – July 2024
Data Analytics & Machine Learning
• Intensive training on data analytics, processing large datasets, and building machine learning models.

Taras Shevchenko National University of Kyiv 2015 – 2019
Faculty of Mechanics and Mathematics
• Fundamental mathematical background (algorithms, data structures, vector spaces).