AI Career Strategy & Guidance with Shallabh Dixitt

Feeling stuck, unsure about your next move, or confused about how to position yourself in the rapidly changing AI-driven job market?

This session is designed to help you gain clarity, direction, and a practical career strategy based on your current experience, strengths, goals, and market opportunities.

Whether you are a student, early-career professional, experienced engineer, tester, architect, manager, or someone planning a transition into AI — we’ll focus on what makes the most sense for you, rather than following a generic career roadmap.

You can use this session to discuss:

• Choosing the right career direction

• Transitioning into AI, GenAI, or Agentic AI

• Moving from software, QA/QE, cloud, data, or other roles into AI

• Identifying the right roles based on your experience

• Skills-gap analysis and learning priorities

• Certifications, projects, and practical upskilling

• Resume and LinkedIn positioning

• Building a stronger professional profile

• Preparing for senior AI, architecture, or leadership opportunities

• Evaluating job opportunities and career trade-offs

• Moving from hands-on engineering into architecture or leadership

• Career planning for the next 6–24 months

• Breaking through career stagnation or uncertainty

What you’ll walk away with

By the end of the session, you should have:

• A clearer understanding of your current position

• Better visibility into realistic career options

• A focused direction instead of scattered learning

• Key gaps and priorities to work on

• Practical next steps tailored to your goals

• Stronger clarity on how to position yourself in the market

This is not about giving you a generic “learn Python, learn AI, update your resume” checklist.

The objective is to understand where you are today, where you want to go, and the smartest path between the two.

Bring your career questions, options, confusion, or goals — and let’s turn them into a clear strategy.