Jay Thoriya

Developed a fully automated AI pipeline to generate personalized children’s storybooks from user-provided input. Designed an image processing system to convert real child photos into consistent, cartoon-style character illustrations.

Built an AI-based social media post optimizer that improved engagement rates by 30% using ML models and SQL-based analysis. Automated data scraping from YouTube, Instagram, LinkedIn, and Twitter, reducing manual research efforts by 70%.

Leveraged and fine-tuned large language models to enhance natural language understanding and generation, leading to a 20% improvement in chatbot accuracy. Implemented Retrieval-Augmented Generation techniques, improving AI system responses by 15%.

Applied advanced feature engineering techniques, resulting in a 25% increase in model performance. Leveraged various machine learning algorithms to identify optimal models for specific datasets, enhancing accuracy and performance.

Grade: 7.7 CGPA

Focused on Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning. Gained practical experience in developing machine learning models and optimizing deep learning systems.

Grade: 72%

Completed Higher Secondary Certificate with a focus on Physics, Chemistry, and Mathematics. Achieved a 72% score.

Grade: 70%

Completed Secondary School Certificate with a focus on Physics, Chemistry, and Mathematics. Achieved a 70% score.