My expertise

Optimized and maintained core project code through comprehensive code cleaning, technical documentation, and creating Docker containers for standardized deployment. Engineered and tuned prompts for advanced image models, including Inception-v3, to significantly improve model accuracy and relevance for industrial analysis. Developing an automated pipeline for prompt optimization, designed to autonomously test and refine prompts to achieve peak model performance.

Completed a two-month internship focused on Machine Learning, contributing to an AI-driven Supply Chain Management project for startups. Worked on data preprocessing, feature engineering, and model development to enhance operational efficiency. Gained hands-on experience with industry tools, evaluating model performance and fine-tuning algorithms. Collaborated with a fast-paced, innovation-driven team, strengthening problem-solving, adaptability, and communication skills.

Contributed to the development of several responsive web applications using React and Next js. Focused on improving the performance and scalability of the front end by implementing TypeScript and state management techniques. Styled the UI components using Tailwind CSS for an optimized user experience.

Developed a secure and scalable voting application using Python and Firebase. The application allowed users to cast and track votes with real-time updates. Implemented authentication and user management features using Firebase Auth and integrated Flet for building user interfaces.