Yousuf Azad

- Completion of the master thesis as part of the internship. Similar to customer segmentation, the goal of the thesis was to find usage patterns based on different characteristics (e.g. when a device is used, how much it is used etc) from IoT data - Development of a method and a criterion to validate the robustness of the clustering result similar to cross-validation using temporal features of the dataset. - Tools: Python, Scikit-learn, Pandas, SQL, PySpark, DataBricks, Pandas, Git

- Analysis of the business and research aspects of the DigiKAM project(link) requirements and translating them into technical tasks/issues - Use of game networking approaches to create a collaboration platform that enables video call with real-life and augmented components (AR) together into one. - Tools: Unity, C#, MRTK, Vuforia, Blender, Git

- Improvement of the adhoc code implementation and integration of the RAINBOW algorithm from OpenAI in a research paper. - Tools: Python, OpenAI, PyTorch, Reinforcement Learning, Git

- Using C++ and Qt, worked mainly in the product 'Viz Libero' and then in 'Viz Arena'. - Responsibilities included implementing new features and fixing bugs following agile methodologies - As part of 'Core Team', improvement of the core dependencies of Viz Libero, Viz Arena - Integration of unit testing by adding GoogleTest framework in the existing codebase - Implementation of a web version of 'Viz Libero' using Python as a proof of concept - Tools: C++, Qt, Jenkins (CI/CD), JIRA, Python, Git

- Development of mobile games for Android and iOS using Unity, C#, and Git - Tools: Unity, C#, Git

Master’s Thesis: ’Data-driven Identification of Appliance Usage Patterns’ Courses: Introduction to Machine Learning, Vision in Human and Machine, Deep Learning, Explainable Artificial Intelligence, Kognitronik, Autonomous Systems Engineering, Text Mining and Knowledge Discovery