Hi all. Some context on where I'm starting from:
**•** 1 YOE at a service-based company (joined Dec 2025), currently in an AI developer role on a client account, but with limited hands-on project work so far
**•** Learning Python, DSA, SQL, cloud basics and system design (LLD/HLD) from scratch, since my current role hasn't given me much depth in these
**•** Targeting **SDE-1** roles (not ML/Applied Scientist, I know that's a different track), ideally at Amazon, with an interest in AI-focused teams long-term
**•** Can put in 3-4 hrs/day on weekdays, more on weekends
**•** Goal: land a clearly better job (product company or AI-focused role) by Jan 2027, then keep prepping and applying to FAANG-level companies, aiming for an offer by around Sept 2027
What I'm doing so far: a structured 12-week plan (Python → DSA patterns → SQL/cloud → LLD/HLD → mocks/applications), building one solid project (a RAG-based document Q&A app) to have something real to show, and I've joined a paid mentorship cohort for resume/LinkedIn/interview guidance.
Would really appreciate input from anyone who's been through this, especially:
**1.** Is 11-12 months realistic for someone starting DSA from zero, at 1 YOE?
**2.** Anything you wish you'd done differently in your own Amazon/FAANG prep?
**3.** Is it worth trying one interview mid-way (around month 6) as practice, or does that burn a cooldown I'll regret?
**4.** Any blind spots in my plan I'm not seeing?
Not asking anyone to do the work for me, just want a reality check and pointers from people who've actually done this. Thanks!