S. M. RIZWANUR RAHMAN

C#, ASP.Net Framework, Wix, Autofac, Unit Testing

Topic: Image classification for Drone Propeller Inspection using Deep Learning. • Designed, developed, and tested the solution from the scratch to deployment . Skills: Python (Programming Language), PyTorch, Docker, OpenCV, Deep Neural Networks (DNN), TensorFlow, Docker, Docker Hub

Projects: 1. The complete Self-Driving Car – Applied Deep Learning (Udemy) 2. Evaluation for object detection with deep neural networks and vision-based algorithms 3. Basic Computer Vision, Machine learning and Deep learning Technologies: Python, NumPy, Matplotlib, Pandas, Seaborn, OpenCV, TensorFlow, Keras, Scikit-learn, Imgaug, Flask & Socket.io, Car simulator (Udacity), DNN, CNN, Raspberry pi

Title: Implementation of an efficient storage format for measurement data in C# • Researched and analyzed ASAM-MDF format from scratch. • Implemented library for handling imbalanced data according to channel and visualized for data postprocessing. Technologies: C#, ASP.Net Core, Unit Test (MSTest), GitLab, Source Tree

Title: Tool development for MEDAS Ultra Sonic Parking Assistance System • Developed algorithms for selecting points in a 2D point cloud. • Assessed the functionality with unit testing and achieved a robust performance to detect the parking area circumstance. • Converted library from C++ to C# and gave a faster algorithmic performance for solving geometric problems. • Researched extensively for Object Detection in 3D point clouds using deep learning. Technologies: C#, ASP.Net Core, WPF, GitLab, Source Tree

Responsibilities: • Redesigned and developed an architecture for digital marketing applications from scratch. • Restructured to decentralize relational database systems and handled the load balancing problem. • Refactored and troubleshoot the bugs in existing code for better scalability and maintained the standardization. • Worked independently and with other team members for on-time delivery of applications. Technologies: C#, ASP.Net MVC 5, Entity Framework 6, Web API and service, Angular, MSSQL, GitLab

• Attained soft skill training, brainstormed for complex thinking and problem-solving techniques, involved in teamwork • Learned Object-Oriented Programming, C#, ASP.NET MVC 5, Microsoft SQL Server 2012, JavaScript, Clean code, Code optimization, Unit testing, Project management tool like Trello, Software development and pair programming

Automotive, avionics and mechanical systems are important application areas for most modern industries. The design of embedded control units in these areas relies on methods of computer science and engineering. Specific aspects of the development of these hardware/software systems are in the main focus of this Master degree program. The program provides knowledge and skills in three fields: • Automotive Software Engineering • Embedded Systems • Real-Time and Communication Systems

Major: Software Engineering