Muhammad Ateeque Zaryab

- Working on the Volkswagen AG car infotainment projects. - Functional Owner ORU 2/3 for Volkswagen AG-Touareg China project. - Doing the esotrace and Gateway trace analysis & error diagnostics. - Performed the software testing for offline software update (SWUP) & online remote update (ORU2) for MQB & MIB baseline (Europe & China) modules. - KPM handling and discussion with suppliers for tickets solution. - Trainings - ISTQB, IREB, SAFe 6 Product Owner & Automotive Safety according to ISO 26262.

- Developed an end-to-end Deep Learning and Artificial Intelligence based algorithm for the medical records digitization (detection & text recognition). - Dataset collection, preprocessing, and labeling. - Object detection models are used to perform region of interest (ROI) detection and text recognition models are built to extract the information written in English and German.

- Designing and developing advanced applications for the Android platform. - Unit-testing code for robustness, including edge cases, usability, and general reliability. - Bug fixing and improving application performance. - Working on JavaScript/µPython to build a website for an ESP32 microcontroller. - ESP32 and Web server communication through WiFi or Bluetooth. Skills: Research and Development (R&D)

Research project "Application of Neural Networks for Image-based Genre Identification". - This research work proposes a methodology based multi-layer convolutional neural networks that can classify the visual appearance of a music & movie album cover image into multiple genres. Since cover albums might belong to multiple genres, this is a multi-label classification problem. The project is done in python using Keras & TensorFlow.