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

Overall Summary- Candidate Fitment Analysis
- The candidate has over 4 years of experience, which is slightly below the required 5-10 years, but given the "VERY GENEROUS" strictness level, the experience is somewhat relevant.
- The candidate holds a Bachelor of Technology (BTech) in Computer Science & Engineering, which aligns well with the required Bachelor of Engineering (BE) degree.
- Skills listed include Python, Machine Learning, Deep Learning, Computer Vision, NLP, SQL, AWS Cloud, Large Language Model, and Generative AI. While Azure-specific skills are not explicitly mentioned, the candidate's experience with AWS Cloud and Large Language Models suggests a potential to adapt to Azure services.
- The candidate has demonstrated leadership by leading a team of 10, including ML engineers and full-stack developers, which shows mentoring abilities and leadership in software development.
- Strong communication skills can be inferred from the candidate's roles involving design, development, and deployment, which would require effective communication with team members and stakeholders.
- Certifications in Data Science with Python, Big Data Hadoop and Spark developer training, and Mastering Data Structure and Algorithms using C and C++ are relevant to the technical skills required, although Azure-specific certifications are not mentioned.
- The candidate's experience with various ML and AI applications, including working on Machine Learning Life Cycle, managing server databases, and conducting research, indicates a strong foundation in AI integration and Azure cloud services expertise.
- There is no direct mention of experience with Azure Machine Learning, Cognitive Services, Bot Service, Functions, Logic Apps, Storage options, DevOps, Kubernetes Service (AKS), API Management, Data Factory, Databricks, Cosmos DB, SQL Database, PowerShell scripting, ARM templates, Virtual Networks, Active Directory, OAuth, or Azure security. However, the candidate's background in similar technologies suggests the ability to learn and adapt.
- The resume does not explicitly state the candidate's knowledge of the domain/industry related to LTI Mindtree's operations, but the candidate's extensive experience in technology and product industries is a strong indicator of relevant domain knowledge.