Scoring Format:
1. Roles & Responsibilities: 8/10
2. Years of Experience: 0/10
3. Education Qualification: 6/10
4. Skills/Knowledge: 6/10
5. Domain/Industry: 0/10
6. Key Competencies: 8/10
7. Certifications: 2/10

Descriptive Analysis:
Overall Summary:
The candidate's resume aligns well with the job requirements in terms of roles and responsibilities, key competencies, and education qualification. However, there are gaps in the years of experience, domain/industry knowledge, skills/knowledge, and certifications.

- Roles & Responsibilities:
The candidate's resume mentions experience in building automation pipelines using CNN/RNN models and implementing advanced RAG techniques for document indexing and data extraction. They have also optimized text prompts for generative AI tasks and collaborated with data scientists to tailor prompts for optimal performance. The resume highlights their problem-solving skills and ability to consider multiple prompting approaches. Overall, the candidate demonstrates a strong alignment with the roles and responsibilities mentioned in the job requirements.

- Years of Experience:
The resume does not provide any specific details about the candidate's years of experience, making it difficult to assess their fitment in this aspect. Therefore, a score of 0 is assigned.

- Education Qualification:
The candidate holds a Bachelor of Technology degree from Swarna Bharathi Institute of Science & Technology. While the resume does not explicitly mention a degree in IT/Computer Science/software engineering, the relevant field of study suggests a reasonable fitment. Therefore, a score of 6 is assigned.

- Skills/Knowledge:
The resume mentions proficiency in Python, SQL, Pandas, and knowledge of AI architectures and technologies. However, there is no explicit mention of other required skills such as AI architectures, IDP, RAG, GenAI technologies, Neural Networks, Machine Learning algorithms, NLP, transformers, TensorFlow, PyTorch, Python frameworks, API framework, Microservices, and AWS tools and technologies. Therefore, a score of 6 is assigned.

- Domain/Industry:
The resume does not mention any specific experience or knowledge related to the US Mortgage origination & servicing domain. Therefore, a score of 0 is assigned.

- Key Competencies:
The candidate's resume demonstrates strong programming expertise, problem-solving skills, knowledge of AI architectures and technologies, understanding of Neural Networks and Machine Learning algorithms, and experience with AWS tools and technologies. They also mention expertise in prompt engineering for GenAI applications. These competencies align well with the job requirements, resulting in a score of 8.

- Certifications:
The resume does not mention any relevant certifications related to the required skills. Therefore, a score of 2 is assigned.

Overall, the candidate's resume shows a good fitment in terms of roles and responsibilities, key competencies, and education qualification. However, there are gaps in the years of experience, domain/industry knowledge, skills/knowledge, and certifications.