Practice Areas

Consulting IT solutions

  • Emerging Technologies: Keeping up-to-date with the latest in tech like blockchain, cloud computing, and IoT.
  • Business Analysis: Understanding client needs, providing cost-effective solution design, and project management.
  • Change Management: Strategies for managing organizational change during IT implementation.

    • AI - Artificial Intelligence

  • Machine Learning Basics: Supervised, unsupervised, and reinforcement learning.
  • Deep Learning: Neural networks, CNNs, RNNs, and TensorFlow or PyTorch basics.
  • Natural Language Processing (NLP): Text processing, sentiment analysis, chatbots. AI
  • Ethics and Governance: Understanding the ethical implications and responsible use of AI.

    • WebApp

  • UI/UX Design: Following user interface and user experience design principles.
  • Responsive Design: Creating websites that work on various devices and screen sizes.
  • Scalability and durability: Helping the website be scalable ad durable in order to serve millions of requests per second.
  • Secure: Always keeping certificates and security standards up-to-date.

    • Mobile Apps

  • Android and iOS Development: Building apps for Android (with Java/Kotlin) and iOS (Swift).
  • Cross-Platform Development: Using frameworks like React Native or Flutter.
  • Mobile UI/UX: Designing effective and user-friendly mobile interfaces.
  • App Store Optimization: Improving app visibility and downloads in App stores (Apple) and Play Store (Google).

    • Data Analytics​

  • Data Processing: Using tools like SQL, Python, and R for data cleaning and manipulation.
  • Data Visualization: Creating effective visual representations of data with tools like Tableau or PowerBI.
  • Predictive Analytics: Basics of building predictive models using statistical techniques.
  • Big Data Technologies: Introduction to Hadoop, Spark, and big data processing.

    • DevOps/Cloud

  • CI/CD: Using Jenkins, Github Actions, Bitbucket pipelines, GitLab CI for continuous Integration/Continuous Deployment.
  • Infrastructure as Code: Using Terraform, Ansible to create Infrastructure.
  • Containerization and Orchestration: Managing containerized applications with Docker basics, Kubernetes.
  • Monitoring and Logging: Using tools like Prometheus, Grafana, and Elastic search.