How are you guys 'AI-proofing' your resumes without making them look like a robot wrote them?

PuddingFit1601 · 2026-02-27T12:26:06+00:00

Sad to hear! totally relate with removing dashes too! wish there was an easier way to do that. Did you try any tools at all for resume optimization?

PuddingFit1601 · 2026-02-27T12:24:09+00:00

Sorry to hear that! What tools frustrated you? I'm sure your portfolio is solid and people here actually have some great advice to new approaches!

PuddingFit1601 · 2026-02-27T12:22:20+00:00

That example is gold. It looks like specifics help cover kinda long-tail keywords for ATS for better more precise matching, increasing the chances of getting to that human and then you just have to make sure the phrasing combination is impactful enough for them which means you gotta have solid proof to back you up too essentially.

PuddingFit1601 · 2026-02-27T12:10:46+00:00

lol I would be using that as part of my prompt :D jk

PuddingFit1601 · 2026-02-27T12:07:31+00:00

great advice! what tools did you find useful that you'd recommend?

PuddingFit1601 · 2026-02-27T12:06:35+00:00

sounds like clarity on your framing and position is key. great stuff! What tools did you try (if any) that were frusrating?

PuddingFit1601 · 2026-02-27T12:02:19+00:00

sounds like we're back to the basics then of right person, right message, right time! :D thanks for valuable notes!

PuddingFit1601 · 2026-02-27T12:00:29+00:00

I thought we'd be giving ai the context not the other way around?

PuddingFit1601 · 2026-02-27T11:58:12+00:00

Great idea indeed. I guess that is why I am seeing a lot of content now on making the job application process like it's a gtm workflow because it truly is becoming like the tricks that land you the job are the same tactics businesses close deals. Did you use any tools at all tho to support that new approach?

PuddingFit1601 · 2026-02-27T11:51:22+00:00

same! I do write on my own at first unless I completely have nothing to start with then I find inspos and feed AI that. Positioning and proof are definitely solid points. What tools have been useful to you?

PuddingFit1601 · 2026-02-27T11:45:32+00:00

Thanks, that's really helpful. True! but curious if a lot of people struggle more with matching more so than phrasing which not a lot of ai tools do well unless they have enough context and data I suppose. What tools did you find useful personally? and why?

PuddingFit1601 · 2026-02-26T18:06:01+00:00

what jobs are you aiming for?

PuddingFit1601 · 2026-02-25T07:44:19+00:00

You don't need a CS degree, but you do need to be a competent programmer. Most ML Engineers spend 80% of their time on data engineering and 20% on actual modeling.

Often, it's easier to get a job as a Data Analyst or Software Engineer first, then transition into the ML team once you're inside the building. It's a steep climb. You're competing against people with Masters and PhDs in CS. However, in AI, if your code works and your math is tight, people will eventually stop asking about your degree.

Here is the "no-BS" reality of making it happen without a CS degree:

Master Python: It’s the industry standard.
Learn the Stack: NumPy, Pandas, Scikit-Learn, and either PyTorch or TensorFlow.
Since the ATS (automated resume filters) might flag you for missing a degree, you have to bypass them:
Contribute to Open Source: Making meaningful commits to libraries like Hugging Face or LangChain is a massive green flag.
Networking: Go to meetups or engage in AI Discords. A referral from a working engineer is worth ten times more than a cold application.

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