Resume review

Your resume is often the first impression you make on a recruiter. In this session, I'll review your resume from both a recruiter's and an AI engineer's perspective to help you present your skills, projects, and experience more effectively.

Whether you're applying for internships, entry-level roles, or experienced AI/ML positions, you'll receive actionable feedback to improve your chances of getting shortlisted.

What we'll cover

1. Complete resume review and feedback
2. ATS optimization and keyword improvements
3. AI/ML/GenAI project presentation
4. Experience and achievement optimization
5. Technical skills section improvements
6. Resume formatting and readability
7. LinkedIn profile review and optimization
8. GitHub profile and portfolio suggestions
9. Personalized recommendations based on your target role
10. Common mistakes that reduce interview chances

Who is this session for?

1. Students and fresh graduates
2. AI/ML and Data Science aspirants
3. Software engineers transitioning into AI
4. Professionals preparing for internships or full-time roles
5. Anyone looking to improve their resume and professional profile

What you'll get

1. Detailed feedback on your resume
2. ATS-friendly improvement suggestions
3. Better project descriptions and impact statements
4. LinkedIn optimization recommendations
5. GitHub and portfolio improvement suggestions
6. Personalized advice to strengthen your job applications

Before the session

Please share the following before the session:

1. Your latest resume (PDF preferred)
2. LinkedIn profile
3. GitHub profile (if available)
4. Job description or target role (optional but recommended)

By the end of the session, you'll have a stronger, more impactful resume and a clear understanding of how to present your experience to recruiters and hiring managers.