1. Roles & Responsibilities: 8/10
2. Years of Experience: 6/10
3. Education Qualification: 8/10
4. Skills/Knowledge: 7/10
5. Domain/Industry: 10/10
6. Key Competencies: 9/10
7. Certifications: 7/10

Overall Summary- Candidate's Fitment to Job Requirements
- The candidate, Chandra Mouli, has a strong background in AI and ML, with a focus on Generative AI and Large Language Models (LLMs), which aligns well with the job's requirement for expertise in Azure Machine Learning and Cognitive Services.
- Mouli's experience leading a team at CAPCO Technologies and developing AI solutions indicates a good match for the leadership and mentoring aspects of the role.
- The candidate's proficiency in Python, AI/ML tools, and prompt engineering techniques suggests a strong fit for the technical skills required, although there is less direct evidence of extensive experience with Azure-specific services and tools.
- Mouli's B.Tech. in Electronic and Communication Engineering is somewhat relevant to the required Bachelor of Engineering (BE) degree, reflecting a solid educational foundation in a related engineering discipline.
- With 4+ years of experience, the candidate falls short of the 5-10 years required but demonstrates rapid growth and significant contributions in their field, which may compensate for the slightly lower years of experience.
- The candidate's certifications in Generative AI and data science are relevant and support their claimed expertise, although more specific Azure certifications would have been ideal.
- Mouli's work experience in the financial services and BFSI industry is a strong match for the domain knowledge aspect, even though the job description does not specify an industry.
- The candidate's demonstrated leadership in software development, AI integration skills, and strong communication abilities align well with the key competencies sought for the role.
- While the resume does not explicitly mention Azure DevOps, CI/CD pipelines, or some Azure services, the candidate's experience with related technologies and AI/ML development suggests the potential to quickly adapt to and learn the specific Azure tools required for the job.