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

Descriptive Analysis:
Overall Summary:
- The candidate's resume aligns well with the job requirements in terms of roles and responsibilities, education qualification, skills/knowledge, and key competencies. However, there is no information provided about the candidate's years of experience or domain/industry knowledge.

- Roles & Responsibilities: The candidate has demonstrated understanding and experience in architecting Artificial Intelligence, Data Science, Natural Language Processing, and Generative AI applications with Machine Learning and Deep Learning using Python. They have also created restful APIs and image classification applications using Python and Flask. The resume provides evidence of experience in building data ingestion and validation pipelines, as well as custom models for clustering and classification. The candidate has experience with AI frameworks like TensorFlow and has deployed applications using Amazon Web Services (AWS). The resume also mentions proficiency in libraries such as TensorFlow, Sklearn, Numpy, Pandas, Matplotlib, and plotly. Overall, the candidate's experience aligns well with the roles and responsibilities mentioned in the job requirements.

- Education Qualification: The candidate holds a Master of Business Administration (M.B.A.) degree from Indira Institute of Management, Pune, and a Bachelor of Engineering degree from Sinhgad Institute of Technology, Lonavala. Both degrees are in relevant fields such as Computer Science and Engineering. This indicates that the candidate meets the educational qualification requirement.

- Skills/Knowledge: The candidate has demonstrated understanding of machine learning, deep learning, and AI principles. They are proficient in AI-related programming languages such as Python and have experience with AI frameworks like TensorFlow. The resume also mentions familiarity with cloud platforms like AWS. The candidate has strong analytical and problem-solving skills, as evidenced by their experience in building data science/machine learning algorithmic solutions. They also have excellent communication skills, as mentioned in the resume. Overall, the candidate possesses the required skills and knowledge mentioned in the job requirements.

- Domain/Industry: There is no information provided in the resume about the candidate's knowledge of the domain/industry. Therefore, it is not possible to assess their fitment in this aspect.

- Key Competencies: The candidate demonstrates understanding of machine learning, deep learning, and AI principles. They are proficient in AI-related programming languages such as Python and have experience with AI frameworks like TensorFlow. The resume also mentions familiarity with cloud platforms like AWS. The candidate has strong analytical and problem-solving skills, as well as the ability to remain updated with the latest developments in AI. They also have excellent communication skills, as mentioned in the resume. Overall, the candidate possesses the key competencies required for the job.

In summary, the candidate's resume aligns well with the job requirements in terms of roles and responsibilities, education qualification, skills/knowledge, and key competencies. However, there is no information provided about the candidate's years of experience or domain/industry knowledge.