Skip to main content

Using AI to Reinvent My Résumé and Try to Land an Interview



Creating a résumé is a tedious job to most. It's hard, time consuming and might even be the cause for rejection-if you don't know what you're doing. Fortunately, there are AI tools out there that created to assist, us humans, in generating résumé. It save's time, effort and you get higher chance of being hired. 

But what if you're transitioning to an entirely different role? You don't have experience, no educational background to back it up. and no portfolio to show. What do you do? You come up with something creative. You come up with some that has never been done before. And, just wow them... or at least try.

I was messaged in LinkedIn for a position that I was eyeing for in years. The HR guy reached out and we scheduled a call interview. We talked for more than half an hour and I was enlightened that my résumé is lack-luster. I was highly considered but the résumé is not at par because I have no job experience on AI, the certifications we're not included, and I don't have any portfolio to show. 

So I got creative.

I collaborated with ChatGPT in creating a project proposal fit for the position. If photographers use portfolio to showcase their shot and musicians use recordings to demo their song, it's only fitting in my opinion to generate a document such as a project proposal to exhibit my prowess in prompt engineering.

Everything's submitted. Now let's see what will happen.


Labels:

Popular

Exploring the Riemann Hypothesis Through the Lens of Contextual Stratification

The Riemann Hypothesis stands as one of mathematics’ most profound unsolved problems. It concerns the distribution of prime numbers and the zeros of the Riemann zeta function, offering a tantalizing promise: if proven, it could unlock deep secrets about the fabric of numbers and even influence fields like cryptography and quantum physics. But what if we step back and ask not just how to solve the Riemann Hypothesis, but where it fits in the grand scheme of knowledge? This is where the Contextual Stratification Knowledge Framework (CSKF) —with its equation Q=Fλ, Q⊆M —comes into play. CSKF provides a meta-framework for understanding how knowledge, theories, and frameworks relate to reality across all domains, from physics to art to mathematics. Could the Riemann Hypothesis be interpreted through the lens of CSKF? The answer is a resounding yes . While CSKF doesn’t offer a direct path to proving or disproving the hypothesis, it provides a powerful way to contextualize its significance ...
Read more

that 80's show: turbo teen

i clearly remember that it was gma7, here in the philippines, that aired turbo teen every afternoon back then. although, i just saw it once and never even knew the title. i searched for it in google with "man turns into car" keywords and followed the search to turbo teen. here's the intro
Read more

Contextual Stratification - Chapter 14: Physics Again

  Returning to the Beginning We started this book with physics, Newton giving way to Einstein giving way to quantum mechanics. It was the clearest example of frameworks working brilliantly within domains, then encountering boundaries where different rules apply. We used it to establish the pattern. Now we return to physics with the complete framework in hand. What looked like a series of revolutions; one theory replacing another, each claiming to be more fundamental can be understood differently. These aren't approximations converging toward ultimate truth. They're correct descriptions at different scales, in different fields, with different measurable spaces. Physics is the ideal place to demonstrate contextual stratification because physicists have already been doing it, even if they haven't articulated the meta-principle. Effective field theory, renormalization group methods, the way physicists effortlessly switch between quantum and classical descriptions depending on t...
Read more