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

Descriptive Analysis: 
Overall Summary- Candidate Fitment Analysis
- The candidate has a strong background in AI development and is proficient in developing full-stack projects with efficient pipelines, aligning well with the roles and responsibilities of designing and developing scalable software applications.
- With experience from 10/2019 to present, the candidate falls slightly short of the 5-10 years of experience requirement but shows relevant progression in their career.
- The candidate holds a Bachelor of Technology in Mechanical Engineering, which is not a direct match to the Bachelor of Engineering (BE) requirement but is still a relevant technical degree.
- Skills in databases, deep learning, data analytics, machine learning, version control, programming languages, data processing, and cloud services are very relevant to the job's primary skills. However, there is no direct mention of Azure-specific experience, which is critical for the role.
- The candidate has demonstrated key competencies through project leadership, AI integration, mentoring, strong communication, and continuous learning, as evidenced by their professional experience and personal projects.
- Certifications listed by the candidate are relevant to the job's primary skills, particularly in AI and data science, but there is no direct mention of Azure certifications.
- The candidate's experience in AI-driven systems and continuous learning indicates a strong fit for the domain and industry, despite no explicit mention of previous work in the same domain as LTI Mindtree.
- The candidate's resume suggests a strong alignment with the key competencies required for the role, such as leadership in software development, AI integration skills, mentoring abilities, strong communication, adherence to coding standards, and collaboration with cross-functional teams.