Medsoft S.

Our Expertise in Software Development and Related Fields 3D Visualization and Graphics Extensive experience in 3D visualization and rendering, leveraging technologies such as VTK, OpenGL, and custom-built pipelines. Expertise in developing advanced visual tools for scientific, medical, and industrial applications. Skilled in optimizing 3D graphics for high performance and real-time interactivity. Machine Learning (ML) and Artificial Intelligence (AI) Development of intelligent systems using popular frameworks like TensorFlow, PyTorch, and scikit-learn. Specialization in computer vision, natural language processing (NLP), and predictive analytics. Experience in integrating AI/ML models into production environments. Desktop Application Development Proficient in creating cross-platform desktop applications using Qt, PyQt, and C++. Expertise in designing robust and intuitive Graphical User Interfaces (GUIs) to enhance user experience. Solid experience with multi-threading and performance optimization for complex desktop solutions. Programming Languages and Frameworks Advanced expertise in Python and C++, complemented by knowledge of Java, C#, and scripting languages. Experience with high-performance computing, memory management, and algorithm optimization. Image Processing and Computer Vision Skilled in image analysis, object detection, and feature extraction using libraries such as OpenCV, ITK, and MATLAB. Experience in building tools for medical imaging, scientific visualization, and automation. Software Testing Comprehensive expertise in software testing methodologies: Unit Testing: Ensuring individual components function correctly. Integration Testing: Verifying interactions between software modules. System Testing: Evaluating the end-to-end functionality of the software. Regression Testing: Identifying unintended side effects after code changes. User Acceptance Testing (UAT): Validating software meets user requirements. Proficient in creating automated test cases and using tools like Selenium, JUnit, and PyTest. DevOps and CI/CD Pipelines Expertise in DevOps practices, automating workflows, and implementing CI/CD pipelines using tools like Jenkins, GitHub Actions, and GitLab CI. Proficient in containerization and orchestration using Docker and Kubernetes. Skilled in infrastructure automation with Terraform and configuration management using Ansible. Project Management and Collaboration Skilled in agile project management using tools like Jira, Trello, and Asana. Experienced in version control and collaborative development using Git, Bitbucket, and GitHub. Strong communication and team management skills to ensure project goals are met efficiently. Additional Skills Experience with cloud platforms, including AWS, Azure, and Google Cloud Platform (GCP). Knowledge of RESTful APIs, backend development, and database management (e.g., MySQL, PostgreSQL, MongoDB). Strong background in debugging, profiling, and optimizing complex systems for sca