WEBVTT

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The email came in at 9 .02am. Subject line. Regarding

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your application. I clicked it. Heart pounding.

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This one felt different. It was after a referral.

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Someone I respected had put their name on the

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line for me. I tailored my resume to perfection.

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Triple checked every word. I thought I had a

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real shot. It took me exactly 4 seconds to read.

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And about 4 hours to stop staring at my screen.

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Thank you for your interest in the role at Company

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X. After careful consideration, we've decided

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to move forward with other candidates. No feedback,

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no explanation, just silence where hope used

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to be. But here's the part that stung even more.

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It wasn't a person who rejected me, it was a

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machine. And that night I decided to fight back

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the only way I knew how, by building my own.

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Hey everyone, welcome back to Dita Niyai with

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Mukundan. We're talking about rejection today.

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but not the kind that you can recover from with

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ice cream and a Netflix binge. This is the cold

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algorithmic kind. The kind that arrives in your

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inbox without warning and wipes out weeks of

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hope in one click. And in my case, it was after

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referral as the part that really hurt. Let me

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ask you, have you ever had that job, that one

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job where you felt like you had everything lined

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up? The connection, the timing, you had the relevant

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experience as well. And maybe someone inside

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the company that you so dream about has been

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rooting for you. And then you don't just get

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rejected. You get rejected without ever speaking

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to an actual human. Today, I want to take you

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inside the world of applicant tracking systems,

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ETS for short, and show you how exactly they

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make these decisions. But more importantly, I'll

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share how I built my own AI -powered ATS simulator,

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why it failed my resume, and how I turned that

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failure into a win. And along the way, I'm going

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to challenge you to think about your own career

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storytelling. Because beating the bots isn't

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just about keywords. It's about making sure that

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your story makes it to real human eyes. Before

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we get into the tech, take a second and think.

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If a machine was judging your resume, right now

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would it pass what's the one skill or project

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you've never put on paper because you didn't

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think it mattered hold on to that we'll circle

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back so let's talk about the villain in our story

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the ats applicant tracking systems or ats aren't

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new they've been around for years quietly filtering

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resumes before they even reach a human recruiter

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but in recent years they've gotten even more

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advanced. Of course they had to, right? Everything

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evolved toward the 80s and they've gotten a lot

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more ruthless. Picture a digital gatekeeper that

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reads your resume like a database, not a story.

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It's scanning for specific keywords, formatting

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compatibility, file structure, and metadata.

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Even it's checking for word order in bullet points.

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It doesn't care about your potential. It doesn't

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care that you once saved your company six figures

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in revenue. or even built a team from scratch.

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It's not personal, but it feels personal. And

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here's the part most people don't know. Many

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rejections in jobs happen automatically. No human

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eyes, no manual review. Nobody is seeing it.

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Just a set of if -then rules that decide whether

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you're in or you're out. I've learned a lot of,

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oh, I would say, not a big reader, but I would

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say I've listened to a lot of Audiobooks, podcasts,

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this is the podcast generation anyway. And all

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the famous people, can't remember which particular

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person this was, but anyway, they would normally

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say like, stop taking it personally and start

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playing the game. The game is keywords, then

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you need to play the keywords. The game is structure,

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play the structure. Complaining doesn't get you

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a job. Optimizing your resume or, you know, that

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would definitely get you in the door. Let's take

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a quick break to talk about rss .com. If you

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ever wanted to tell your story, whether it's

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about career wins, personal struggles or industry

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insights, rss .com is where you start. It's how

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I published this podcast and here's why I love

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them. Every episode comes with a free transcript.

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I can take that transcript, drop it into an AI

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tool and see how to make my delivery even better.

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The same way I optimized my resume. And here's

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something cool. Even if you're just starting

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out and you get like 10 downloads a month, you

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can start earning Ad revenue. That's unheard

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of. I don't think any company does this. So links

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in the show notes. I love RSS .com for podcasting.

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Oh, did I forget to mention they are amazing

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at their distribution network. So they have distribution

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ranging from not just Spotify, Apple Podcast.

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They also have Amazon Music, iHeartRadio, Pandora,

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Deezer. And you can also publish. your own podcast

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into youtube as well with one with one button

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that's it that's how simple that is so coming

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back to the show let's look at a night that i

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tried to build the ats ai is what i called it

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i remember the night that i hit my limit another

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referral rejection another email with no feedback

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i opened my laptop and i created a new folder

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and i started coding in python i didn't just

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want to guess what what the ats is doing I wanted

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to actually see it. Here's what I used. I used

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Python for all the logic and the backend. Streamlit

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so that it would be easy to run and share. OpenEI

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API to generate plain English feedback. Scikit

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-learn, which is a Python -based library to calculate

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cosine similarity between my resume and a job

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description. PyPDF2 and docx2text to handle the

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different file types that candidates use. And

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then I tested it on my resume. uploaded the PDF,

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based on the job description, and then I clicked

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run. And the result? It said cosine similarity

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with a 43 .43%, GPT -4 score of 85 out of 100,

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and verdict? Fail. My own AI had rejected my

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resume. So here's some food for thought for you.

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Your best work was being evaluated right now

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by a system, not a person. What would it miss

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about you? And more importantly, what would you

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miss? about yourself. Let's take another break.

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If you're listening to this and thinking, I wish

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I had an AI assistant to help me figure this

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out, you need to check out Sider .ai. It's S

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-I -D -E -R .ai. It's an AI -powered research

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and productivity tool that lives in your browser.

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I actually used it to test some of my parsing

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logic for this project. It's perfect for breaking

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down complex job descriptions into Actionable

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keywords. Links in the show notes. And back to

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the podcast. Here's what my resume, which failed,

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taught me. Lesson 1. Never assume that your resume

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speaks for itself. You might think that your

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achievements are obvious. The machine doesn't.

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Lesson 2. Keyword alignment matters more than

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clever phrasing. Again, this is all an opinion.

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You can still be creative, but match the language

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of the job description. Lesson 3. Formatting

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and structure aren't cosmetic. They're functional.

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Fancy designs can break parsing. So I took these

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three lessons and I made the changes. I did missing

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keywords like Google Analytics 4 and site measurement.

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Rephrased, collaborated with product teams to

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lead A -B tests with product and marketing teams

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using SQL and BigQuery. Quantified wins wherever

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possible. Same resume, same person. Just a different

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language. Ran it again and lo and behold, of

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course, there was a pass. I believe this is storytelling,

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but for machines. Every bullet point here is

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a mini story. And if you tell it in the right

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order, with the right words, it opens doors.

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Let's take another break to talk about Riverside

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.fm. And speaking of telling your story well,

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Riverside .fm is how I record this podcast in

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studio quality audio and 4K video. Even when

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my guests are halfway across the world or even

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on spotty Wi -Fi, if you've ever thought about

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starting a podcast to share your own career lessons

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or talk about your favorite shows, start with

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Riverside .fm. Link in the show notes. One more

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thing about Riverside .fm, they have AI editing

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as well. So AI can magically create clips from

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your podcast. So you can use these clips to promote

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your podcast on Spotify or any other podcasting

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platform. Actually, you can even share it on

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YouTube, right? So that's another way to share

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these AI generated clips. These clips could be

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as short as like, you know, your TikTok clips,

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like all your YouTube shots. That's what these

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clips are. And Riverside .fm really helps you

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creating it using AI. So back to the podcast.

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Here's my challenge to you. This week, take your

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resume and run it through a tool. Whether it's

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mine or another ATS checker. Don't just look

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for a score. Look for the gaps. Look for the

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parts of your story that aren't making it through

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the filter. Because here's the truth. You can't

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control whether a company hires you. But you

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can control whether your story ever makes it

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to a human. Don't let a machine decide whether

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you're invisible. Tune your story for the gatekeeper

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so that the human on the other side can finally

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see you. Clarity comes from engagement. not thought

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you learn by doing so take action see what happens

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adjust your resume and repeat the process if

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this episode resonated with you share it with

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someone who's in the middle of the job search

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grind in this crazy job market finding a new

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job is really hard right now it's a very unfortunate

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situation we are in do remember this like here's

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my disclaimer for you yes this AI based tool

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to evaluate your resume. It's not foolproof.

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Nothing is, right? It's AI at the end of it.

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The advice given by it is, you know, take it

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as you will. It has helped me and I believe it

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will help you. It is my belief, right? AI is,

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I would not say it's a hundred percent fact.

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That's something to always remember, but it will

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make your job easier if you use it the right

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way. So try this tool. It's in the, link is in

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the show notes. And as always, if you've enjoyed

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this, subscribe, drop a review, and I'll be back

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soon with another real -world AI journey. But

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until next time, stay curious, and most importantly,

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stay seen.
