C# Programming

C# Programming Expertise

With over 20 years of experience in software development, I bring deep expertise in C# development across .NET Framework and .NET Core platforms. My knowledge spans from traditional OOP principles to modern C# language features that enhance productivity, performance, and code quality.

Modern Language Features

• Records: Leveraging C# 9+ records for immutable data types, value-based equality, and concise syntax. Records are particularly effective for DTOs, domain models, and data transfer objects where immutability reduces bugs and improves thread-safety.

  Using record types with init-only properties, inheritance, and with-expressions to create clean, maintainable data structures. Records eliminate boilerplate code for equality, hashing, and ToString implementations, making code more expressive and less error-prone.

• Pattern Matching: Implementing switch expressions, type patterns, and property patterns to write more declarative code. Pattern matching simplifies complex conditional logic, improves readability, and enables exhaustive checking at compile-time.

  Using pattern matching for data transformation, validation, and business rule evaluation. Combined with records and discriminated unions, pattern matching provides powerful tools for modeling domain logic in a type-safe manner.

• Async/Await: Building high-performance, scalable applications using asynchronous programming patterns. Proper use of async/await prevents thread blocking, improves resource utilization, and enables handling thousands of concurrent operations efficiently.

  Following best practices for async method naming, error handling, cancellation tokens, and avoiding common pitfalls like async void and deadlocks. Implementing async streams (IAsyncEnumerable) for efficient data processing pipelines.

• LINQ: Utilizing Language Integrated Query for data manipulation, transformation, and aggregation. LINQ provides a consistent, declarative syntax for querying collections, databases (via Entity Framework), and other data sources.

  Writing efficient LINQ queries with proper projection, filtering, and grouping. Understanding deferred execution, lazy evaluation, and when to materialize queries. Using LINQ for complex business logic, data validation, and reporting requirements.

Advanced OOP Principles

• Encapsulation: Designing classes with proper access modifiers, properties, and methods that expose only necessary interfaces. Using private fields, readonly properties, and internal visibility to maintain encapsulation boundaries.

  Implementing property getters and setters with validation, computed properties, and indexers where appropriate. Leveraging C# 8+ default interface members and static abstract members for interface evolution.

• Inheritance & Polymorphism: Creating inheritance hierarchies that follow Liskov Substitution Principle. Using abstract classes, virtual methods, and interface-based design to achieve flexible, extensible architectures.

  Implementing composition over inheritance where appropriate, using dependency injection to achieve loose coupling. Designing with interfaces to enable testing, mocking, and future extensibility.

• Generics: Writing reusable, type-safe code using generic classes, methods, and constraints. Generics enable compile-time type checking while maintaining code reusability across different types.

  Applying generic constraints (where T : class, new(), etc.) to define acceptable type parameters. Using covariance and contravariance (in/out modifiers) for interface and delegate type parameters to enable flexible type relationships.

Performance Optimization

• Span<T> and Memory<T>: Using stack-allocated and memory-efficient types for high-performance scenarios. Span<T> enables zero-copy operations on arrays, strings, and other contiguous memory regions.

  Implementing parsing, string manipulation, and data processing with Span<T> to reduce allocations and improve throughput. Understanding when to use stackalloc vs. heap allocation and managing memory safely.

• Ref Returns and Locals: Utilizing reference returns and locals for performance-critical code where direct memory access is needed. This enables efficient manipulation of large data structures without copying.

  Applying ref struct types for stack-only allocations, avoiding heap allocations in hot paths. Understanding ref safety rules and limitations to write safe, high-performance code.

Platform Experience

• .NET Framework: Extensive experience with .NET Framework 4.x for enterprise applications, legacy system integration, and Windows-specific features. Deep understanding of AppDomains, remoting, and framework-specific APIs.

  Migrating applications from .NET Framework to .NET Core/.NET, understanding breaking changes, compatibility shims, and migration strategies. Maintaining and enhancing legacy codebases while planning modernization paths.

• .NET Core / .NET: Building cross-platform applications with .NET Core and .NET 5+. Leveraging performance improvements, new APIs, and modern development practices enabled by the unified platform.

  Using .NET minimal APIs, source generators, and other modern features for efficient application development. Implementing cloud-native patterns, containerization, and microservices architectures with .NET.