Сервіс пошуку роботи №1 в Україні
Максим
.Net-програміст
- Розглядає посади:
- .Net-програміст, ASP.Net програміст, Back-end програміст, Web software engineer
- Вік:
- 18 років
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно, Київ
Контактна інформація
Шукач вказав: ТелефонЕл. пошту
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/19168479/
Завантажений файл
Версія для швидкого
перегляду
Це резюме розміщено у вигляді файлу. Ця версія для швидкого перегляду може бути гіршою за оригінал резюме.
SHERSHUN MAKSYM
[відкрити контакти ](див. вище в блоці «контактна інформація»)
[відкрити контакти ](див. вище в блоці «контактна інформація»)
.NET Developer github.com/d10max
Kyiv, Ukraine
SUMMARY:
.NET Developer seeking to strengthen practical development skills, with a solid foundation in OOP,
Software engineering, and C#.
TECHNICAL SKILLS:
Programming Languages: C#, SQL.
Core Concepts: Object-Oriented Programming, Algorithms, Data Structures.
Databases & ORM: PostgreSQL, SQLite, Entity Framework.
Advanced C# & .NET: Multi-threading, Task-based Asynchronous Programming (TAP), Task Parallel
Library (TPL), Reflection, JSON/XML Serialization.
Languages: English - B2
PROJECTS:
Football World Cup 2026 Simulator
C#, .NET, JSON Serialization, LINQ
- Developed a console-based mathematical simulator for football tournaments,
autonomously handling group stage logic, playoff brackets, and match outcomes.
- Architected the application using Clean Code principles, separating logic into
independent layers: Data Access (DAL), Business Logic (BLL) and UI.
- Implemented JSON deserialization to process raw data into DTOs, utilizing complex
LINQ queries for data transformation, team drawing, and match pairing.
- Engineered a custom 'Power Index' algorithm (1-100 scale) to balance team
strengths, applying Min-Max normalization for FIFA rankings and logarithmic
normalization for squad market values.
- Designed match simulation logic that calculates expected goals (xG) and
generates realistic match scores using the Poisson distribution.
Home Library
C#, SQLite, Entity Framework, LINQ
- Developed a console application for managing a personal book collection,
including title, author, and publication year.
- Implemented CRUD functionality for adding, editing, deleting, and viewing book
records.
- Added approximate search functionality using the Levenshtein algorithm.
- Used SQLite for data storage and Entity Framework for database interaction.
- Applied LINQ for working with book data and queries.
- Organized the project using a structured architecture with separate UI, Services,
and Models layers.
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.NET Developer github.com/d10max
Kyiv, Ukraine
SUMMARY:
.NET Developer seeking to strengthen practical development skills, with a solid foundation in OOP,
Software engineering, and C#.
TECHNICAL SKILLS:
Programming Languages: C#, SQL.
Core Concepts: Object-Oriented Programming, Algorithms, Data Structures.
Databases & ORM: PostgreSQL, SQLite, Entity Framework.
Advanced C# & .NET: Multi-threading, Task-based Asynchronous Programming (TAP), Task Parallel
Library (TPL), Reflection, JSON/XML Serialization.
Languages: English - B2
PROJECTS:
Football World Cup 2026 Simulator
C#, .NET, JSON Serialization, LINQ
- Developed a console-based mathematical simulator for football tournaments,
autonomously handling group stage logic, playoff brackets, and match outcomes.
- Architected the application using Clean Code principles, separating logic into
independent layers: Data Access (DAL), Business Logic (BLL) and UI.
- Implemented JSON deserialization to process raw data into DTOs, utilizing complex
LINQ queries for data transformation, team drawing, and match pairing.
- Engineered a custom 'Power Index' algorithm (1-100 scale) to balance team
strengths, applying Min-Max normalization for FIFA rankings and logarithmic
normalization for squad market values.
- Designed match simulation logic that calculates expected goals (xG) and
generates realistic match scores using the Poisson distribution.
Home Library
C#, SQLite, Entity Framework, LINQ
- Developed a console application for managing a personal book collection,
including title, author, and publication year.
- Implemented CRUD functionality for adding, editing, deleting, and viewing book
records.
- Added approximate search functionality using the Levenshtein algorithm.
- Used SQLite for data storage and Entity Framework for database interaction.
- Applied LINQ for working with book data and queries.
- Organized the project using a structured architecture with separate UI, Services,
and Models layers.
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