M. Can Isik

Responsible for SDS Infra team R&D - Sensor Development & Data Science (SDS) Tasks include: - Data Driven Algorithm Development (Python/C): Deep neuralnet based keyword spotting, sensor based ML algorithms for home appliances - Technical sales and Due diligence support external partner - ML research, and scientific investigation for solution costumers - Company technical road-map support, macro prioritization of projects - Architectural Design for nanoAI (Python/C) - Team Structure and Expertise Management

Tasks: - Architectural Design & Lead Development of the Machine Learning & Data Persistence Framework (Python/C) - Data Driven Algorithm Development (Python/C); examples: Human Activity Recognition & Locomotion, Improved Bio-metrics, vehicle/speed detection using audio sensors - Management/Definition of Data Acquisition Practices and Tools (Protocols, CI, GIT, DBs) - Teaching and Guidance within the framework/development workflow - Technical Team Structure and Expertise Management

Responsible for algorithm development, evaluation and implementation; R&D - Sensor Development & Data Science Team. General Tasks include: Development and improvement of algorithms in Python; focused on data driven solutions, Development and maintenance of Machine Learning & Data Framework, Gathering specifications, implementation and optimization in embedded C

Responsible for DICOM Frameworks in Data Management Team. General Tasks include: - Preparing specifications, Implementation in C++/C# - Creating standard-compliant technical documentation - Verification and Validation of medical software - Focused on multithreaded implementations Acquired skills: Multithreaded development, DICOM, Agile Project Management

Projects: - Touch-based interface development for a high end medical product. - Development of iOS based presentation aide for Bosch and Siemens. Acquired skills: C#, WPF, Objective-C

Projects: - Software development for digital spiral acquisition, diagnosing early PD (Parkinsons disease) and analysis of data. - Software development and data analysis for tremor disease data and disease type classification. Acquired skills: Labview, Matlab, Classification methods, Basic machine learning applications

Game flow and puzzle design for the game "Culpa Innata". Acquired skills: C, C++, Java

Focus on Robotics and Machine Learning GPA 4.0/4.0

Focus on Control Engineering