C# / .NET
Back‑end development, LINQ, REST APIs, data access layers, clean architecture.
Skills
Short descriptions with logos
ASP .NET
Web apps and APIs with Razor/MVC or Minimal APIs—using dependency injection, routing & middleware, auth (JWT/cookies), and model validation.
Python
Data manipulation and analysis with pandas/NumPy; foundational ML workflows with scikit-learn (beginner); scripting and automation.
Blazor
C# front-end components (Server or WebAssembly) with data binding, events, form validation, state management, and REST API calls.
RESTful API
HTTP verbs and semantics (GET/POST/PUT/DELETE), status codes, pagination/filters, Swagger/OpenAPI docs, auth (JWT/cookies), and request validation.
Java
Desktop apps with Swing, MVC patterns, Derby/PostgreSQL integration.
Node.js / Express
RESTful APIs, MongoDB Atlas, EJS templating, and JWT auth basics.
JavaScript
DOM and fetch/axios, modular code patterns, and basic bundling/build tooling.
PostgreSQL
Relational modeling, joins/indexing, query plans, transactions, and essential SQL performance practices.
MongoDB
Flexible schemas, aggregation pipelines, indexing, and Atlas deployments with best practices.
Microsoft SQL Server
SQL queries, stored procedures, indexing strategies, normalization, and backup/restore basics.
Machine Learning Foundations
Mathematical understanding of K-means, Decision Trees, Linear/Logistic Regression, and Naïve Bayes; evaluation with accuracy, precision, recall, F1-score.
Agile methodology
Scrum/Kanban, user stories & estimation, sprint reviews/retros, and CI/CD-driven delivery.
Object-Oriented Programming
SOLID principles, encapsulation/inheritance/composition, interfaces, and practical design patterns.