Vahid Sharifi

Developed and managed AI-powered tools for enhancing teaching materials. Employed image-to-text LLMs and designed evaluation procedures for assessing tool performance using NLP techniques.

Monitoring and analyzing AI model outputs to enhance accuracy and relevance. Developed targeted prompts to evaluate and optimize model performance, providing expert feedback for reinforcement learning from human feedback (RLHF).

Implemented a YouTube transcript retrieval system using vector databases and deployed it on Google Cloud Platform, utilizing various tools for development and evaluation.

Benchmarked various machine learning models, addressing data sparsity and providing actionable insights through descriptive and visual analysis, resulting in improved accuracy and computation efficiency.

Led a research project to develop an AI-driven solution for generating nutritionally accurate dietary plans. Engineered datasets and developed a data retrieval pipeline to improve nutrition data accuracy.

Designed a hybrid recommender system and deployed Firebase for user activity analysis. Applied NLP techniques for customer feedback automation and maintained financial dashboards for data-driven decision-making.

Grade: Distinction

Achieved Distinction honor at 78%. The program focused on advanced data science techniques, machine learning, and statistical analysis to prepare students for careers in data-driven industries.

Relevant courseworks on statistical quality control. The program provided a comprehensive understanding of industrial engineering principles, focusing on optimizing processes and systems.