I developed and optimized the production pipeline using OpenPype, integrating DCCs, asset databases, and task management tools. This involved extensive R&D and working with Python libraries like PyQt, PySide, Pyblish, and more. I utilized Vue.js and Flask for task management with Kitsu and built tools using Django, FastAPI, React, MongoDB, and PostgreSQL. The role required strong problem-solving, collaborating with teams to meet production needs, and delivering scalable, efficient solutions while maintaining high code quality and leveraging cutting-edge technologies to streamline workflows.

I built the Lara AI Assistant Platform using React, ensuring an interactive and responsive experience. I also migrated key sections of the platform, including the header, footer, and sidebar, from Angular to React with Bootstrap and CSS, enhancing performance and maintainability. To meet bilingual requirements, I implemented i18next for seamless Arabic-English support. Utilizing media queries, I ensured full responsiveness across devices. Collaborating with designers and backend teams.

preparing and labeling data to support machine learning and AI projects. I ensure data accuracy and consistency by identifying, tagging, and categorizing relevant text, images, videos, or audio information. This requires a strong attention to detail, a deep understanding of project requirements, and proficiency with annotation tools.

I connect pharmaceutical and medical companies with healthcare professionals like doctors, pharmacists, and hospital staff. My role involves introducing products, explaining their benefits, and ensuring they meet patient care needs. It’s not just selling—I provide education on proper usage, share the latest research, and offer ongoing support to ensure smooth implementation. Building strong relationships, understanding client needs, and staying updated on industry trends are key parts of my work