Build Your LLM Engineer Portfolio: A 3-Month Roadmap

Author(s): Maxime Jabarian

Originally published on Towards AI.

A step-by-step guide to designing, refining, and showcasing a portfolio that kickstarts your career.

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If you’ve just finished your degree or are looking for your first job, this article is for you. As you know, the AI job market is more competitive than ever. Simply having a degree or academic projects in AI isn’t enough to differentiate yourself from the crowd, specifically for an LLM engineer position. You need practical, hands-on projects that show your skills.

For those who don’t know me, my journey started as an LLM Engineer 2 years ago with a degree in Astrophysics and Data Science. Before that, I was a data scientist doing research and development for some enterprises. Since then, I’ve crafted sophisticated GenAI applications for several clients, leveraging multimodal models for thousands of users, and have designed comprehensive architectures for end-to-end product solutions.

When I started as an LLM engineer, I quickly realized that having a portfolio of practical work was essential for building trust and confidence with your audience. For example, in my free time, I built a custom HR chatbot for my previous employer, designed to answer internal queries and automate repetitive tasks like onboarding FAQs for all collaborators (few hundred). Using closed and open-source LLM,… Read the full blog for free on Medium.

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Published via Towards AI