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

Overall Summary- Candidate Fitment Analysis
- The candidate has experience in data science, which is somewhat relevant to the role's requirement for designing and developing software applications, particularly with AI integration. However, the resume lacks evidence of experience in leading the integration of GenAI services on Azure or managing document ingestion pipelines.
- With only 3 years of professional experience, the candidate falls short of the 5 to 10 years of experience required for the role.
- The candidate holds a B. Tech in Mechanical Engineering and a Post Graduate Diploma in Data Science, which aligns with the requirement for a Bachelor's degree in Engineering.
- The skills section mentions Python, SQL, and cloud platforms like GCP, which indicates a foundation in software development and cloud services. However, the resume does not explicitly mention Azure services or .NET Full Stack Development, which are critical for the role.
- There is no mention of Azure Machine Learning, Cognitive Services, or Azure Bot Service, which are primary skills for the job. The candidate does show proficiency in Python and machine learning, which could be considered somewhat relevant.
- The resume does not provide information on the candidate's knowledge of the domain/industry or key competencies, as there are no details found in the job description for these sections.
- The candidate does not list any certifications that would demonstrate expertise in Azure services, which is a significant gap for the role's requirements.
- The candidate's experience with Google Cloud Platform (GCP) and data science tools like TensorFlow and PyTorch suggests a potential to adapt to Azure cloud services, but this is not directly evidenced in the resume.
- The resume does not indicate readiness to travel or work in the EMEA shift, which is a requirement of the job.
- The lack of direct experience with Azure services, particularly Azure Machine Learning and Cognitive Services, as well as the shortfall in the required years of experience, suggests that the candidate may not be the best fit for the role without additional training or experience.