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People ask me what I'm building next.

Here's the honest answer: I don't know exactly. And that's the exciting part.

The projects I'm exploring: a more sophisticated AI agent framework that handles real-world messiness better than current tools. An open source evaluation toolkit specifically for RAG systems in Indian languages. A technical mentorship program for AI engineers from underrepresented backgrounds.

But the specific projects matter less than the principles guiding them:

Build things that help people. Not just things that are technically impressive.

Open source whenever possible. The AI community gave me everything. Giving back is the minimum.

Stay curious. The day I stop being fascinated by how things work is the day I should do something else.

Teach as I learn. Not from a position of expertise — from a position of shared exploration.

And keep shipping. Because ideas are cheap. Execution is everything.

If you've read all 200+ posts and you're still here — you clearly have the curiosity and persistence that this field rewards.

Now close LinkedIn. Open your IDE. And build something.

I'll see you in the next post. With another story about what I built, what broke, and what I learned.

That's the whole cycle. And it never gets old.

#WhatsNext#AIEngineer#MachineLearning#BuildTheFuture#OpenSource#Innovation