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