22 Ibrahim Fahmy St. Sidi beshr, (+20) 1000599192 - (+20) 1122979706 BAHEY THARWAT Alexandria, Egypt. https://github.com/baheytharwat baheytharwat@gmail.com https://linkedin.com/in/baheytharwat EDUCATION Alexandria, Egypt Alexandria University 09/2016- 06/2021 ● Major: Communications & Electronics Engineering, Bachelor's degree. Grade: Very Good with Honor (81%). ● Undergraduate Coursework: Python, C Programming, Linear Algebra, Calculus, Probability and Statistics Operating Systems, Microprocessors, Digital Signal Processing, Computer Architecture. EMPLOYMENT Machine Learning Engineer Driver Technologies 03/2021 – Present ● Developing large scale vision models trained on data collected from a huge fleet of users. ● Deploying collision and monitoring models on a dash cam mobile application to provide safety features for drivers. Mapping & Simulation Intern Brightskies Technologies 06/2020 – 10/2020 ● Implemented a calibration technique (DLT) to project 3D LiDAR points to Camera Images. ● Built a deep learning model to classify road junctions using transfer learning and ran through the process of finding, cleaning, labeling and augmenting data. ● Developed an automated software tool to create 3D models of road networks to create simulation environments in CARLA simulator. Perception Intern Autotronics Research Lab 05/2020 – 08/2020 ● Optimized Inference time of Object Detection Models using TorchScript and Torch-TRT to be faster by 40%. ● Worked on Multi-Object tracking using SORT and Deep SORT algorithms. Software Engineer MIA Robotics Team 09/2018 – 05/2020 ● Participated in MATE ROV competition as a student and led the software team in Minesweepers competition. ● Developed a vision system to calculate the length of underwater objects and identify their shapes. ● Implemented localization module based on Kalman filter, IMU, and wheel encoders for UGV robot in ROS. PERSONAL PROJECTS ● Pisces. Utilized Microsoft Azure custom vision to build an application that helps the fish-farm owners in everyday inspection and data analysis. Developed deep learning models to inspect fishing net holes and pipes. ● Text classification. Built a text classifier using embedding and LSTM layers using IMDB dataset. ● Speed Prediction. A deep learning model to predict the speed of the ego vehicle from a dash cam, based on optical flow and 3D convolutions. The model scores a 6 MSE (mean squared error) on comma.ai test data. ● Driver Monitoring. Implemented drowsiness detection system based on face detection, facial landmarks, eye aspect ratio and head pose estimation. ● Semantic segmentation. Used UNet architecture with EffecientNet as a backbone to build a segmentation model using comma10k dataset. The model scored a cross entropy loss of 0.045 and beat the comma.ai baseline. ● Behavioral Cloning. An End-to-End deep learning model that can learn from drivers' behavior to predict steering angle based on NVIDIA’s paper "End-to-End learning for self-driving cars". ● ● ADDITIONAL EXPERIENCE AND AWARDS Microsoft Azure Machine learning challenge (06/2019) Awarded 1st place in the international competition. MATE ROV Competition (04/2019) Awarded 1st place for underwater robotics competition in Egypt. SKILLS ● Proficient: Python, PyTorch, OpenCV, Numpy, Matplotlib. ● Familiar: C/C++, TensorFlow, ROS, Linux, PCL, Qt. CERTIFICATES ● Self-driving cars nanodegree ● Sensor fusion nanodegree. ● Deep learning specialization
