Web/Mobile
Development
Front-end Development: Development of user interfaces for websites and mobile applications using technologies like HTML, CSS, JavaScript, and
frameworks such as
React, Angular, or Vue.
Back-end Development: Server-side development, database management, and API development using languages and frameworks like Node.js, Python,
Java, .NET, and
databases like MySQL, PostgreSQL, or MongoDB.
Mobile App Development: Development of native iOS and Android applications, cross-platform development using frameworks like React Native or
Flutter.
Software Product
Development
Product Design & Architecture: Designing the overall structure, features, and functionality of software products,
including system architecture and database design.
Custom Software Development: Building software solutions tailored to specific business needs, including enterprise
applications, CRM systems, and ERP solutions.
Software Testing & QA: Ensuring software quality through various testing methodologies, including unit testing,
integration testing, system testing, and user acceptance
testing.
UI/UX Design
User Interface (UI) Design: Creating visually appealing and intuitive user interfaces, focusing on layout, typography,
color schemes, and branding.
User Experience (UX) Design: Designing the overall user experience, including user research, user flows, wireframing,
prototyping, and usability testing to ensure user
satisfaction.
Accessibility Consulting & Development: Providing expertise in accessible design, development, testing, and remediation
to ensure inclusivity for all citizens.
Data Management
Database Administration: Managing and maintaining databases, including installation, configuration, backup and recovery,
performance tuning, and security.
Data Warehousing & Business Intelligence: Designing and implementing data warehouses, ETL processes, and business
intelligence solutions for data analysis and
reporting.
Data Analytics: Analyzing data to extract meaningful insights, identify trends, and support decision-making using tools
and techniques like statistical analysis and data
visualization
AI/ML Development
Machine Learning: Developing machine learning models for tasks such as prediction, classification, clustering, and
recommendation systems.
Artificial Intelligence: Building AI-powered applications, including natural language processing, computer vision, and
automation solutions.
Data Science: Applying statistical and machine learning techniques to analyze complex datasets, build predictive models,
and solve business problems
