Muhammad Ateeque Zaryab

- Working in commissioning (Inbetriebnahme) on VW projects. - Configured and calibrated automotive systems (ECUs) during initial setup and ensured correct integration of hardware and software components. - Identified and resolved issues during commissioning using diagnostic tools (e.g., CANalyzer, ODIS) - Flashed control units (Infotainment, ConBox, MIB systems). - Worked on test benches to make them online on EU and Approval backend with primary user enrollment.

- Error Manager for Europe & China on VW project. - Monitored and maintained error databases (KPMs). - Classified errors by severity, frequency and impact. - Coordinated with engineering teams to investigate the cause and work closely with suppliers for issue resolution. - Updated daily list of KPMs from ticket wizard to management.

- Functional Owner ORU2 (MIB) & ORU3 (Gateway) for Volkswagen AG - Touareg project. - Conducted esotrace and Gateway trace analysis for error diagnostics. - Collaborated with Cariad to create change requests (CR) for ORU China. - Managed KPM and discussions with suppliers for ticket solutions. - Software testing for ORU2 & ORU3 – MIB system & Gateway module in Touareg Europe project. - Trainings - ISTQB, IREB, SAFe 6 Product Owner / Product Manager & Automotive Safety according to ISO 26262.

- Working on the Volkswagen AG car infotainment projects. - Worked on the Volkswagen AG car infotainment project. - Functional Owner OTA for Volkswagen AG - ORU & SWUP project. - Performed the software testing for offline software update (SWUP) & online remote update (ORU2) for MQB & MIB baseline (Europe & China) modules. - Managed KPM and discussions with suppliers for ticket solutions. - Conducted Ethernet and serial trace analysis for error diagnostics.

- 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.