Mudassar Manzoor

10+ years of experience as Software developer, Programming skills in various languages, C#, .NET Core, MVC, Microservices, REST API, OpenAPI, Python, Robot Framework, Javascript, DevExpress, Software Architecture, Requirements Engineering, Test driven dev Approach with robot framework, Code Review & Refactoring, Git, Bitbucket, Gitlab, Sprint review & retro, Standup meeting & status reporting, Polarion and BCS, testlink, Medical image processing with Python, muscle segmentation, body composition analysis.

Parttime working student Job: C#, .NET Framework, MVC, Python, Robot Framework, Javascript, DevExpress, Software Architecture Design, Requirements Engineering, Microservices, Domain Driven Development, Test Driven Approach, Code Review & Refactor, Git, Sprint Planning, Review and Retro...

Developed enterprise application for travel and tourism industry in .NET full stack development. Participated in full software development life cycle (SDLC) from requirement analysis to designing, coding, reviews, debugging, testing, deployment. While in agile scrum environment, worked as leading developer, assign tasks, managing team, status reporting and meet deadlines. C#, asp.net, rest api, sql server, javascript, jquery, html5, css3, bootstrap, github

Master thesis: on-screen analysis of body composition using muscle segmentation neural network on lever cancer CT data in a clinical routine. Further detail: Developed a complete pipeline to generate results from segmentation network on muscles of skeletal region of L3 Vertebra of lever cancer CT data using Python. Perform medical image processing to generate various results to analyze sarcopenia in cancer patients.

Master thesis: Body composition analysis from CT image data of liver cancer patients using automated muscle segmentation neural network from a screenshot. - Muscle segmentation at L3 vertebra - Sarcopenia analysis from body composition -Body composition analysis of cancer patients - Image processing using Python and analysis of deep learning network performance for muscle segmentation.

Master thesis: Body composition analysis from CT image data of liver cancer patients using automated muscle segmentation neural network from a screenshot. - Muscle segmentation at L3 vertebra - Sarcopenia analysis from body composition -Body composition analysis of cancer patients - Image processing using Python and analysis of deep learning network performance for muscle segmentation

Master thesis: Body composition analysis from CT image data of liver cancer patients using automated muscle segmentation neural network from a screenshot. - Muscle segmentation at L3 vertebra - Sarcopenia analysis from body composition -Body composition analysis of cancer patients - Image processing using Python and analysis of deep learning network performance for muscle segmentation

Research in Computer and Systems Engineering from TU Ilmenau Germany Master study thesis topic: "Screen-based analysis of liver cancer CT data on Deep-Learning-based body composition network in clinical routine", DICOM, NRRD, Abdomen Muscle Segmentation, Body composition Analysis, Sarcopenia, medical image processing