Ing. Asad Hayat

Machine learning pipeline development and deployment. Object Classification, Environment Classification,

Data Analysis (perform descriptive and quantitative analysis) Understanding existing pipelines of Machine learning Understanding of Automotive Radar and its functioning and getting acquainted with current pipelines in Automotive industry Research in RNN and their application in Automotive industry specifically on Radar data Practical implementation of Object classification with help of RNN (LSTM, GRU) Comparison with existing state of the art approaches for object classification

Gather Domain knowledge for DevOps process to implement machine learning Made working pipeline for DevOps Deployment process for insights in Deployment data which helped in Retrospective meetings and improved the overall performance of DevOps. Established Data and preprocessing pipelines for Pattern recognition of errors and performance issues in the deployment process. Made visualizations which help in the DevOps Dashboard Made a boilerplate for Machine learning environment includes top-notch tools

implementation of Agile Methodologies like Scrum and Kanban. Consuming 3rd Party Services via REST and SOAP. Php development for backend in Legacy Code and trying to make it better by migrating it to DDD and Hexagonal Architecture. TDD and BDD are done For making tests cases by use of different frameworks like CodeCeption and PHPUnit. Release and Code Management via GitFlow Implementation of Service Oriented Architecture and introducing the leading technologies for Deployments like Docker and Vagrant

Advance Managment Of Data, Software Service Engineering, Machine Learning, Strategic It Managment, Current Trends in Web Engineering, Model Driven Software Development

Artifical Intellegence Project Managment Communication Systems