Ukraine's #1 job service
Personal information hidden
This job seeker has chosen to hide his personal information and contact info. You can contact him using this page: https://www.work.ua/resumes/20818057/
Python developer
- City of residence:
- Chernivtsi
- Ready to work:
- Chernivtsi, Lviv, Remote
Contact information
Name, contacts and photo are only available to registered employers. To access the candidates' personal information, log in as an employer or sign up.
Uploaded file
Quick view
version
This resume is posted as a file. The quick view option may be worse than the original resume.
Anatolii Yozhykov
[open contact info ](look above in the "contact info" section) | Chernivtsi, Ukraine (Open to remote work) | [open contact info ](look above in the "contact info" section) | github.com/yozhykovanatolii
SUMMARY
Python Developer with practical experience developing backend applications using Python, FastAPI, PostgreSQL
and Docker.
Specialized in developing backend solutions for resource planning and route optimization, with a focus on business
logic, REST APIs, and external service integrations. Developed a resource planning system that calculates total
crafting materials across multiple recipe levels.
SKILLS
Technologies:
- Programming Languages: Python
- Frameworks: FastAPI
- Database: PostgreSQL, Neo4j, Redis
- Backend: REST API
- Tools: Git, Docker, Taskiq
Languages: English (B2), Ukrainian
PROJECTS
Craft Planner
• Developed and deployed a RESTful API using Python, FastAPI and Docker to generate personalized crafting
plans from player inventory and target items.
• Implemented a crafting algorithm using Python and Neo4j to trace multi-level recipe dependencies and identify
required resources.
• Implemented JWT authentication and password hashing using pwdlib to secure user accounts and access to
crafting plans.
• Integrated push notifications using Taskiq and Redis, allowing users to receive updates when crafting plans are
created or recalculated.
• Optimized a PostgreSQL database and queries to improve database performance when retrieving crafting plans.
Tech stack: FastAPI, Python, Docker, PostgreSQL, pwdlib, Neo4j, Taskiq, Redis
Smart Courier Assistant
• Developed and deployed a RESTful API using Python, FastAPI and Docker to help couriers optimize delivery
routes and manage daily deliveries.
• Created ETA prediction and delay detection algorithms using Python and OpenRouteService API, helping
couriers identify potentially late deliveries earlier.
• Integrated JWT authentication and password hashing using pwdlib, helping keep courier accounts and personal
data secure.
• Created an AI recommendation algorithm using Python and the OpenAI API to help couriers make informed
decisions based on route and delay data.
• Designed the PostgreSQL database schema and optimized queries for delivery order and route data retrieval.
Tech stack: FastAPI, Python, Docker, PostgreSQL, pwdlib, OpenAI API, OpenRouteService API
EDUCATION
Master of Computer Science, ’Zaporizhzhia Polytechnic’ National university Sep 2024 - Feb 2026
[
SUMMARY
Python Developer with practical experience developing backend applications using Python, FastAPI, PostgreSQL
and Docker.
Specialized in developing backend solutions for resource planning and route optimization, with a focus on business
logic, REST APIs, and external service integrations. Developed a resource planning system that calculates total
crafting materials across multiple recipe levels.
SKILLS
Technologies:
- Programming Languages: Python
- Frameworks: FastAPI
- Database: PostgreSQL, Neo4j, Redis
- Backend: REST API
- Tools: Git, Docker, Taskiq
Languages: English (B2), Ukrainian
PROJECTS
Craft Planner
• Developed and deployed a RESTful API using Python, FastAPI and Docker to generate personalized crafting
plans from player inventory and target items.
• Implemented a crafting algorithm using Python and Neo4j to trace multi-level recipe dependencies and identify
required resources.
• Implemented JWT authentication and password hashing using pwdlib to secure user accounts and access to
crafting plans.
• Integrated push notifications using Taskiq and Redis, allowing users to receive updates when crafting plans are
created or recalculated.
• Optimized a PostgreSQL database and queries to improve database performance when retrieving crafting plans.
Tech stack: FastAPI, Python, Docker, PostgreSQL, pwdlib, Neo4j, Taskiq, Redis
Smart Courier Assistant
• Developed and deployed a RESTful API using Python, FastAPI and Docker to help couriers optimize delivery
routes and manage daily deliveries.
• Created ETA prediction and delay detection algorithms using Python and OpenRouteService API, helping
couriers identify potentially late deliveries earlier.
• Integrated JWT authentication and password hashing using pwdlib, helping keep courier accounts and personal
data secure.
• Created an AI recommendation algorithm using Python and the OpenAI API to help couriers make informed
decisions based on route and delay data.
• Designed the PostgreSQL database schema and optimized queries for delivery order and route data retrieval.
Tech stack: FastAPI, Python, Docker, PostgreSQL, pwdlib, OpenAI API, OpenRouteService API
EDUCATION
Master of Computer Science, ’Zaporizhzhia Polytechnic’ National university Sep 2024 - Feb 2026
Similar candidates
-
Python Developer (AI, LLM)
Remote -
Python developer (учень)
Remote -
Backend Developer (Python, Django/FastAPI)
Lutsk, Remote -
Python-програміст
Kryvyi Rih, Remote -
Python-програміст
Remote -
Python-програміст
Lviv, Kyiv, Remote