As a Full Stack Software Engineer, I am responsible for architecting, developing, and maintaining complex software solutions that encompass both the front-end and back-end components of our applications. Here's a detailed overview of my responsibilities and expertise:Backend Development:Proficient in using .NET and .NET Core to build robust and scalable server-side applications.Designing and implementing APIs and web services to facilitate communication between the front-end and back-end systems.Utilizing Azure services such as Azure App Service, Azure Functions, Web Jobs for hosting and managing backend services.Employing Terraform for IaC to streamline deployment processes and enhance scalability.Frontend Development:Expertise in developing interactive and user-friendly web applications using Angular, TypeScript, JavaScript, HTML5, CSS, and SCSS.Creating responsive and visually appealing user interfaces.DevOps and Deployment:Proficient in Azure DevOps for continuous integration and continuous deployment (CI/CD) pipelines to automate the software release process.Hands-on experience in managing Azure resources, including configuring and deploying applications to Azure environments.Knowledge of Git for version control to collaborate with team members and manage code efficiently.Agile and Project Management:Skilled in Agile methodologies, particularly Scrum, and have been actively leading Scrum processes for the team for the past two years.Serving as a Scrum Master, I facilitate daily stand-ups, sprint planning, sprint reviews, and retrospective meetings to ensure effective teamwork and project progress.In summary, my role as a Full Stack Software Engineer encompasses a wide range of technical skills and responsibilities. I am well-versed in both front-end and back-end development, proficient in utilizing a variety of technologies and tools, and experienced in Agile project management.

Long-Term Software Solutions for the Automation Industry in the Era of Industry 4.0:I was deeply engaged in the realm of long-term software solutions for the automation industry, particularly in the context of Industry 4.0. In this role, I contributed to the development of robust and sustainable software solutions that aligned with the principles of the fourth industrial revolution. This involved the creation of smart, interconnected systems that enabled automation, data exchange, and intelligent decision-making within industrial processes. By doing so, I assisted organizations in harnessing the power of automation and digitalization to enhance their efficiency, productivity, and competitiveness.Cross-Platform Mobile Applications:Another significant aspect of my job involved crafting cross-platform mobile applications. In a world where mobile devices are ubiquitous, it was essential for businesses to reach their audience seamlessly across multiple platforms. Leveraging my expertise in cross-platform development, I designed and built mobile apps that ran smoothly on various operating systems, reducing development time and costs while ensuring a consistent user experience. These applications were not only user-friendly but also played a pivotal role in enhancing customer engagement, expanding market reach, and driving business growth.Microsoft Azure Cloud development, integration, and support.

Developing services and solutions in .NET environment. Providing project management assistance in test and development cycles.Cross platform mobile application development using - Apache Cordova Tools for Visual Studio, Sencha Touch ExtJS framework, JavaScript, HTML5, CSS3 Supporting and debugging existing legacy code.

As a Visiting Faculty at Frankfurt University of Applied Sciences, I teach Machine Learning to bachelor students in the field of electrical engineering. This comprehensive course includes both theory and practical application, with a focus on Python-based implementations of various machine learning algorithms.Key Responsibilities:Lectures: Deliver engaging lectures covering essential machine learning concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning.Lab Sessions: Conduct practical hands-on lab sessions where students work with Python and machine learning libraries to implement algorithms and analyze data.Project Guidance: Mentor and guide students in their machine learning projects, helping them apply their knowledge to real-world applications.Assessment: Evaluate student performance through assignments, and project, providing constructive feedback.Stay Current: Stay updated with the latest advancements in machine learning to ensure students receive relevant education.

Worked on building a mobile LMS for Android Devices.