Sami Alavi

- Worked on helyOS, a software framework for mobile machine orchestration. - Worked on integrating automated machines and cloud applications, focusing on application development, autonomous vehicle design, and creating routers and path planners. - Developed microservices for mission assignments in applications such as smart farming and warehouse automation. - Developed automatic unit tests to ensure application robustness. - Tech Stack: Angular, TypeScript, SCSS, Leaflet, Python, Docker, Rabbit MQ, GraphQL.

- Developed intuitive, cross-browser compatible front-end interfaces. - Collaborated with back-end developers, ensuring seamless integration. - Conducted usability testing, gathered feedback, and iteratively improved the front-end design. - Translated user requirements into front-end tasks, working closely with the product managers. - Optimized and refactored APIs to support REST architecture while ensuring backwards compatibility. - Tech Stack: Angular, TypeScript, SCSS, Leaflet, Python, FastAPI, MongoDB

- Faculty of Electrical Engineering and Information Technology - Supported research on Automated Driving with a focus on connected cars and sensor perception. - Developed innovative visualizations using Mapbox, Deck.gl for geotagged measurement data and digital maps. - Implemented software solutions for data visualization. - Applied problem-solving skills to overcome visualization challenges. - Strong time management skills for efficient project execution. - Tech Stack: Angular, TypeScript, SCSS, Mapbox.

Open-Source Contribution for GitHub repositories: - sktime/sktime - Telecominfraproject/oopt-gnpy - cvlab-epfl/LIFT - WestHealth/pyvis - watergis/mapbox-gl-legend

- Working for Jonas Construction Software - Full-stack developer for applications: Jonas Documents, Jonas Construction Tools - Using Agile (Scrum) Development, Jira, Jenkins, Git, Bitbucket - Converted Web Framework from Nancy to Web API - Implemented two-way communication between client & server using SignalR - Tech Stack: Angular, TypeScript, SCSS, ASP .NET, C#, Transact SQL, WinForms - Unit Testing: Karma, Moq - Development Tools: Visual Studio, Visual Studio Code, Android Studio, Postman

- Successfully completed multiple client projects in diverse areas, including web scraping, cryptography, and machine learning, effectively meeting their specific requirements and delivering high-quality results. - Demonstrated expertise in web scraping by developing efficient solutions to extract and process data from various online sources. - Leveraged machine learning techniques and algorithms to develop predictive models, enabling clients to derive meaningful insights from complex datasets.

- Acquired comprehensive knowledge in HTML, CSS, JavaScript, PHP, and WordPress, demonstrating a strong commitment to learning and mastering web development technologies and frameworks. - Successfully completed an internship project focused on the development of a WordPress and created its video, highlighting its features and functionalities, and providing a comprehensive overview of the project's scope and accomplishments.

- Conducted in-depth research on the IMO application, gaining a thorough understanding of its features, functionality, and data structure. - Extracted and meticulously analyzed the raw data dump of the IMO application, employing data processing techniques and tools to derive valuable insights and patterns. - Successfully completed an internship project focused on the development of a data analysis tool using Python and Tkinter, streamlining the process of analyzing the IMO application's data dump.

- Actively engaged in learning Flutter and Dart, gaining proficiency in these frameworks for cross-platform mobile application development. - Successfully completed an internship project focused on the development of Faceany, a beauty application leveraging Deep Learning techniques. - Utilized Flutter and Dart to create a user-friendly and visually appealing mobile application that allows users to experiment with changing the color of their eyes and hair in real-time.

- Actively participated in seminars focusing on the impact of human activities on the environment and wildlife, as well as strategies for their preservation and protection. - Designed and implemented a waste container monitoring system that detects when the container is nearly full, providing real-time data to optimize waste collection processes. - Integrated sensors with Arduino to accurately measure the fill level of the waste container, ensuring efficient waste management and reducing overflow incidents.