aman Shah

Architected and deployed a large-scale RAG application capable of processing over 600 books for intelligent document retrieval. Engineered advanced computer vision models using BiRefNet-HR for micro-level background removal and developed innovative 2D-to-3D house image conversion systems using YOLO and U2Net. Led technical presentations and product demonstrations, effectively showcasing AI capabil

Architected and deployed a large-scale RAG application processing over 600 books for intelligent document retrieval. Developed sophisticated multi-agent systems for automated workflow management and decision-making, and engineered an advanced computer vision model using BiRefNet-HR for micro-level background removal. Created an innovative 2D-to-3D house image conversion system using YOLO and U2Net

Delivered successful demonstrations for helmet, Coca-Cola, and person detection using advanced AI models. Developed a full RAG application leveraging generative AI and authored a systematic review paper on ethical considerations of Generative AI. Created a Dome Fast API for a Friends Recommendation system using collaborative filtering and neural networks, and conducted data scraping projects.

Collaborated with the team to analyze complex datasets, delivering data-driven insights to optimize AI/ML solutions. Actively contributed to innovative projects, demonstrating strong problem-solving skills and dedication.

Delivered successful demonstrations for helmet, Coca-Cola, and person detection using advanced AI models. Developed a comprehensive RAG application leveraging generative AI and authored a systematic review paper on Ethical Considerations and Responsible Governance of Generative AI. Additionally, created a Fast API for a Friends Recommendation system using collaborative filtering and neural network

Collaborated with the team to analyze complex datasets, delivering data-driven insights and optimizing AI/ML solutions. Actively contributed to innovative projects, showcasing dedication and strong problem-solving skills.

Developed and successfully hosted a complete website for Honest CNG Retasting. Managed the full lifecycle of web development, ensuring functionality and user experience.

Successfully developed and hosted a complete website for Honest CNG Retasting. This project involved end-to-end web development, from design to deployment.

Grade: 8.5 CGPA

Activities and societies: Achieved runner-up in ML Thone competition for Heart Disease Prediction and Machine Learning TALAASH competition. Won first prize in Aaviskaar for Indian Currency Reorganization and third prize for Chatbot development in Aaviskaar.

Achieved an average CGPA of 8.5. Focused on computer applications, gaining foundational knowledge and practical skills in the field.

Completed an online certification in Data Science. Gained knowledge in data analysis and related methodologies.

Completed an online certification in LangChain: Chat with Your Data. Focused on leveraging LangChain for data interaction.

Completed an online certification in Building Systems with the ChatGPT API. Gained skills in integrating and utilizing the ChatGPT API for system development.

Completed an online certification in Vector Databases: from Embeddings to Applications! Focused on understanding and applying vector databases.