Zeinab Sheikhi

Skills: GNU Make · pytest · Microservices · AWS SageMaker · Containerization · Systems Design · Polar · UV · Docker · Continuous Integration and Continuous Delivery (CI/CD) · Problem Solving · Attention to Detail · Anthropic Claude · Apache Airflow · Large Language Models (LLM) · FastAPI

My teammates and I at Citydi Corporation design a nationwide mobile banking application for three platforms (Android, iOS, PWA) that uses digital banking to deliver customer bank services over the Internet. This application provides financial and banking services for one of the major banks in Iran, Shahr Bank.

Applying an image processing approach for the detection of vehicles' impermissible load using a stereo camera and convolutional neural networks - Developing a user-friendly Windows desktop application with the Flutter framework for displaying the vehicle's image, plate number, and load characteristics. The developed app also contains statistical analysis tools for processing the impermissible load distribution during a specified period - Designing a backend server with the Flask framework and implementing APIs for interacting with the desktop app - Designing and managing a MongoDB database for storing JSON data resulting from convolutional neural networks models