I'm a Fresh AI/ML Grad in the Worst Job Market. Here's My Bet.

Let's be real — the job market is rough right now, especially for freshers in tech. And I'm right in the middle of it.

I'm Gauresh Tambe, a fresh CSE (AI/ML) grad trying to carve out my space in AI Engineering. This blog is me building in public — the learning, the projects, the dead ends, and hopefully some wins.

What I've already built

I'm not starting from zero. I built Docsy — an npm package that lets you spin up a RAG-powered Q&A bot on GitHub markdown files with proper citations. It's in alpha at docsy.live with docs at docs.docsy.live. It's on hold right now but it's real, shipped.

My frontend stack is Next.js + TypeScript and I'm comfortable there.

So why Python now?

Simple math. Python AI engineering job postings outnumber TypeScript ones by roughly 10x. And TypeScript AI roles mostly want senior SDE experience — freshers can't compete there yet. I learned that the hard way.

So the pivot: Python for AI backend and infrastructure, Next.js stays for frontend. The goal is AI Engineering — building production-ready, efficient, cost-effective AI systems. Not just demos.

My take on "roadmaps"

Everyone's selling the "only roadmap you'll ever need." Most of them overcomplicate it.

My roadmap: build projects. Then build more projects.

Yes I'm currently learning Python fundamentals and LLM architecture first — but that's not the roadmap, that's just prerequisite work. You need to understand what you're building with before you build something production-ready. Once the foundation is there, everything becomes projects.

Why this blog

I'm an overthinker who chases shiny things. This blog is my accountability system. I'll document what I'm learning, what I'm building, and what's actually working — so future-me (and maybe you) can follow the thread.

I post daily on X too — follow along if you're on the same grind.

Let's build.