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

Descriptive Analysis:
Overall Summary:
- The candidate's resume does not align well with the job requirements.
- The candidate lacks relevant experience in roles and responsibilities related to building automation pipelines using CNN/RNN models, RAG techniques, LLM, and GenAI technologies for document indexing and data extraction.
- The resume does not provide any information about the candidate's years of experience, which is a requirement for the job.
- The candidate has a Bachelor of Engineering degree in Information Science and Engineering, which is relevant to the job requirements.
- The resume mentions skills in programming languages like Java, C Programming, Python, and Machine Learning, but does not specifically mention skills in Python, SQL, Pandas, AI architectures, IDP, RAG, GenAI technologies, Neural Networks, Machine Learning algorithms, NLP, transformers, Python frameworks, API framework, Microservices, AWS tools and technologies, or SQL and NoSQL databases, which are required for the job.
- There is no mention of knowledge or experience in the US Mortgage origination and servicing domain.
- The resume mentions projects related to yoga pose classification using deep learning techniques, heart rate monitoring using IoT, hostel management system using DBMS, and sports result prediction using machine learning. While these projects demonstrate some technical skills, they do not directly align with the job requirements.
- The resume does not mention any relevant certifications.

In summary, the candidate's resume lacks the necessary experience, skills, and domain knowledge required for the job. The candidate's education qualification is relevant, but the lack of information about years of experience and certifications is a drawback. The projects mentioned in the resume do not directly align with the job requirements. Overall, the candidate's fitment to the job requirements is low.