Programming Languages

• Java: Expertise in Java programming for robust and scalable applications.
• Python: Proficiency in Python for data science, machine learning, and web development.
• C#: Experience in C# for developing Windows applications and web services.

Web Development

• HTML/CSS/JavaScript: Strong foundation in front-end technologies for interactive web applications.
• React/Angular/Vue: Advanced knowledge in modern JavaScript frameworks for dynamic web development.
• Node.js: Proficient in server-side JavaScript for building scalable web applications.

Mobile Development

• Android/iOS Development: Experience in developing native and cross-platform mobile applications.
• React Native/Flutter: Expertise in cross-platform mobile app development for efficient app deployment.

Cloud Technologies

• AWS/Azure/GCP: Proficiency in cloud services for scalable and reliable cloud solutions.
• Serverless Architecture: Experience in serverless computing for efficient and cost-effective application development.

Data Technologies

• SQL/NoSQL Databases: Expertise in both relational and non-relational databases for efficient data storage and retrieval.
• Big Data Technologies: Experience in big data technologies such as Hadoop, Spark, and Kafka for processing and analyzing large datasets.

Artificial Intelligence

• Machine Learning: Proficiency in machine learning algorithms and models for predictive analytics and data mining.
• Deep Learning: Experience in deep learning techniques for image recognition, natural language processing, and more.

DevOps

• Continuous Integration/Continuous Deployment (CI/CD): Expertise in CI/CD pipelines for automated software delivery.
• Containerization (Docker/Kubernetes): Experience in containerization technologies for efficient deployment and scaling of applications.

Other Technologies

• Blockchain: Knowledge in blockchain technology for secure and transparent transactions.
• Internet of Things (IoT): Experience in IoT technologies for connecting and managing devices.