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

Overall Summary- Candidate Fitment Analysis
- The candidate demonstrates a strong alignment with the roles and responsibilities, showcasing experience in leading ML & analytics solutions, integrating LLMs for scalable solutions, and conducting applied research which indicates strategic thinking and technical leadership.
- The candidate falls short on the years of experience requirement, having only 6 years instead of the required 10-18 years, which is a significant gap for the role.
- The educational qualification is a perfect match with a BE in Information Technology from Pune University.
- The skills and knowledge section is very relevant, with direct experience in LLM, RAG, Python, and cloud platforms like Azure, although there is no explicit mention of AI/ML architecture, Langchain, LlamaIndex, Embeddings, Vector DB, or GenAI-based application design.
- The candidate has a solid background in the IT software development industry, which aligns well with the domain/industry requirement.
- Key competencies such as technical leadership, strategic thinking, and continuous improvement are evidenced through the candidate's project experiences and achievements. However, there is less explicit mention of cross-functional collaboration and communication skills.
- Certifications are somewhat relevant with credentials in Generative AI and cloud platforms, but there is no direct evidence of certifications in the comprehensive list of skills required, such as Langchain, LlamaIndex, or advanced RAG.
- The candidate shows potential for continuous improvement and compliance with security and data protection standards through the application of best practices in ML product development and deployment.