.NET Engineer focused on building scalable, clean, and production-ready systems.
I care about architecture, performance, and code that survives real-world abuse.

• Caching in Clean Architecture (.NET)
  Practical implementation of caching strategies using Clean Architecture principles.
  Focus: performance, separation of concerns, production-ready patterns

• Predicting Anti-Cancer Peptides
  Research-driven ML project combining bioinformatics and predictive modeling.
  Focus: Python, data preprocessing, model evaluation

• ASP.NET Core (Web API, MVC)
• Clean Architecture, SOLID, Dependency Injection
• Entity Framework Core, Dapper
• Caching (In-Memory, Redis)
• Authentication & Authorization (JWT, Identity)

• SQL Server (query optimization, indexing, transactions)
• PostgreSQL, MySQL
• Stored procedures, performance tuning

• Angular (API integration, forms, state handling)
• JavaScript (ES6+)

• Microsoft Azure (App Services, Azure Functions, Storage, AI Services)
• CI/CD pipelines (GitHub Actions, Azure DevOps)
• Logging & monitoring (Serilog, Application Insights)
• Secure configuration & secrets management
• Unit & integration testing (xUnit, NUnit, Moq)

• Python (ML & research projects)
• Algorithmic problem-solving (ICPC background)

• AZ-900 – Microsoft Azure Fundamentals
• DP-900 – Microsoft Azure Data Fundamentals
• AI-900 – Microsoft Azure AI Fundamentals
• AI-102 – Designing and Implementing an Azure AI Solution

Focused on cloud fundamentals, data platforms, and applied AI solutions on Azure.

ICPC preliminary participant with strong foundations in algorithms, data structures, and problem-solving — ICPC Profile