->Developed an advanced deep learning model using TensorFlow and PyTorch to optimize waste classification efficiency.

->Integrated machine vision recognition technology to enhance classification accuracy and operational speed.

->Utilized IoT technology to enable real-time data transmission and intelligent control of devices.

->Demonstrated in-depth expertise in React state management to facilitate real-time data rendering, allowing users to observe immediate CV updates based on their inputs.

->Enhanced understanding of interfaces and type systems in TypeScript to ensure robust application architecture.

->Gained proficiency in CSS print and Playwright to implement seamless PDF export functionality.

->Acquired proficiency in updating React state objects—including list operations, restructuring, adding/removing items, resetting changes, and updating deeply nested array values based on previous state and user inputs.

->Effectively reordered list items and partitioned arrays into sub-lists using indexing techniques.

->Gained practical knowledge of JWT authentication, server-side rendering, Docker containerization, and NGINX networking.

->Implemented JWT to establish secure user authentication protocols.

->Engineered web scraping functionality to extract and consolidate data from leading online employment platforms in Hong Kong.

->Utilized Python (FastAPI) to construct a robust backend framework for the application.

->Applied insights from Project GAIA to design a resilient data structure and implemented MongoDB for effective database management.

->Engineered a MongoDB-based database solution to store and retrieve non-structural geostatic data with optimal efficiency.

->Gained proficiency in applying hashing techniques for accurate data comparison and historical data management.

->Mastered techniques for reformatting and restructuring raw data (dictionary/JSON) using Python.