How to Build an AI Portfolio That Actually Gets You Hired
About the Event
When applying for AI roles, your portfolio often matters more than your resume. Many candidates complete AI courses, but still struggle to convert that learning into interview calls because their portfolio does not clearly demonstrate technical depth, and the ability to solve real-world problems through AI.
Masters’ Union is hosting How to Build an AI Portfolio That Actually Gets You Hired, a webinar designed to help you understand what hiring managers and recruiters actually look for when evaluating AI candidates.
In this webinar we’ll cover:
What hiring managers actually look for in AI portfolios
Common mistakes that reduce the impact of your projects
What strong portfolios include across projects, GitHub, and demos
How to present your work to reflect technical depth and practical thinking
Live portfolio teardown and audience Q&A
Who is this webinar for?
This session is designed for software engineers, data professionals, and tech practitioners who want to build AI projects and present their work more effectively. It is particularly relevant for professionals preparing for AI and ML roles, looking to strengthen their portfolio, and seeking to turn their projects into credible proof of capability that stands out to hiring managers.
About the Speaker
Divij Bajaj is a Data & Applied Scientist II at Microsoft, where he works on building Generative AI solutions for real-world applications. With prior experience at VMware and nearly seven years of experience across machine learning and production AI systems, he has worked extensively on building, scaling, and deploying AI solutions that solve business problems at scale.