• Researching cutting edge technologies used in automatic license plate recognition (ALPR) and choosing CNNs as the optimal choice• Building a diverse dataset of vehicles images with different weather and license plates conditions for training a high accuracy ALPR model• Designing a prototype for a parking system that uses ALPR for automatically quoting parked cars• Designed and implemented a custom DataFrame class based on pandas for efficient management of the company’s unique data styles• Utilized the class to streamline data processing and analysis resulting in improved efficiency and accuracy

• Containerized web apps and CI images using Docker and Docker Compose• Adding and modifying HTTP methods (get/post/delete) to a Flask-RESTful API• Automated extraction of authentication token from a website using selenium to be used in a data collection script• Created a class for handling fetched data efficiently, with the help of caching• Used Streamlit for classifying training data inference with its ground truth

• Worked in Sensors team on quality control, and development and contributed with the team in solving problems• Analyzed data from sensors using Python, Numpy and pandas in a Linux environment• Reading data from sensors connected to a Raspberry pi and streaming the data using ZeroMQ• Developed a GUI for a radiation detection system using PYQT5 for monitoring radiation dose rate with real-time graph for each location and have warning effects and siren• Tested new XRF products units for accepting or rejecting them after full inspection• Tracked products quality by keeping a record of each unit’s tests data for future reference and comparison