- React: Building interactive UIs, handling state management, and leveraging hooks for functional components.
- Angular: Building scalable enterprise applications using Angular's component-based architecture, dependency injection, RxJS for reactive programming, and Angular Material for consistent UI design.
- JavaScript: Building interactive and dynamic web pages using core JavaScript concepts, handling DOM manipulation, events, and adding functionality to front-end applications.
- NestJS: Creating RESTful APIs, working with modular architecture, and handling asynchronous operations with ease.
- .NET: Building robust and scalable web applications and services using ASP.NET Core.
- Java Spring Boot: Developing production-ready microservices and RESTful APIs, leveraging Spring Security for authentication, Spring Data JPA for database management, and a strong focus on scalability and maintainability.
- MySQL: Designing and managing relational databases with a focus on performance, indexing, and writing efficient queries for data-driven applications.
- PostgreSQL: Building reliable and scalable database solutions using PostgreSQL's advanced features including complex queries, stored procedures, and robust data integrity.
- Data Science: Analysing and interpreting complex datasets to extract meaningful insights, building machine learning models, and creating data visualisations using Python libraries such as Pandas, NumPy, scikit-learn, and Matplotlib.
- Data Engineering: Designing and building robust data pipelines and ETL processes, managing large-scale data infrastructure, and ensuring reliable data flow across systems for analytics and reporting.