C# .NET Developer
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#CV #Remote #Backend #Developer #CSharp
C# .NET Developer
Work format: Remote
About me:
2 years of Backend development experience with a focus on .NET and AI/RAG solution integration. Practical expertise confirmed by a series of completed full-cycle engineering projects — from architecture design to production-ready solutions, including work with vector databases, LLM integrations, and distributed transactions.
Core stack:
C#, ASP.NET Core (Minimal APIs, REST), Entity Framework, Docker, Swagger
Infrastructure:
PostgreSQL, Keycloak, RabbitMQ + MassTransit, Hangfire
AI infrastructure:
Ollama, vector databases (Qdrant), RAG pipeline development, semantic search
Architecture:
Clean Architecture, Domain-Driven Design, Saga pattern for distributed transaction management
Project experience:
-Implemented RAG pipelines using vector databases (Qdrant) and local LLMs (Ollama)
-Designed and developed a service for managing the data lifecycle and configuration of RAG pipelines (Clean Architecture, DDD)
-Developed a service for automatically generating personalized news digests, including RSS parsing/crawling and LLM-based categorization
-Built a news recommendation system for Telegram based on semantic similarity and vector search
-Implemented asynchronous task processing and distributed transactions (RabbitMQ, MassTransit, Saga pattern)
-Configured authentication/authorization (Keycloak) and background jobs (Hangfire)
-Researched ensembling of regression models (CatBoost, XGBoost) with hyperparameter tuning via Optuna
C# .NET Developer
Work format: Remote
About me:
2 years of Backend development experience with a focus on .NET and AI/RAG solution integration. Practical expertise confirmed by a series of completed full-cycle engineering projects — from architecture design to production-ready solutions, including work with vector databases, LLM integrations, and distributed transactions.
Core stack:
C#, ASP.NET Core (Minimal APIs, REST), Entity Framework, Docker, Swagger
Infrastructure:
PostgreSQL, Keycloak, RabbitMQ + MassTransit, Hangfire
AI infrastructure:
Ollama, vector databases (Qdrant), RAG pipeline development, semantic search
Architecture:
Clean Architecture, Domain-Driven Design, Saga pattern for distributed transaction management
Project experience:
-Implemented RAG pipelines using vector databases (Qdrant) and local LLMs (Ollama)
-Designed and developed a service for managing the data lifecycle and configuration of RAG pipelines (Clean Architecture, DDD)
-Developed a service for automatically generating personalized news digests, including RSS parsing/crawling and LLM-based categorization
-Built a news recommendation system for Telegram based on semantic similarity and vector search
-Implemented asynchronous task processing and distributed transactions (RabbitMQ, MassTransit, Saga pattern)
-Configured authentication/authorization (Keycloak) and background jobs (Hangfire)
-Researched ensembling of regression models (CatBoost, XGBoost) with hyperparameter tuning via Optuna
- csharp
- dotnet
- entityframework
- docker
- swagger
- postgresql
- keycloak
- rabbitmq
- masstransit
- hangfire
- qdrant
- ollama
- cleanarchitecture
- domaindrivendesign
- sagapattern
- catboost
- xgboost
- optuna
Оценка вакансии
19/100 · минимум информации
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