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halfway done with long term essay

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Keshav Anand
2025-12-09 22:55:14 -06:00
parent 978c78e6eb
commit 0dc4380215
2 changed files with 28 additions and 7 deletions
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rsi-application/main.tex
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@@ -58,7 +58,7 @@
\makeatletter
\let\ps@customFooterStyle\ps@plain % Copy the plain style to customFooterStyle
\patchcmd{\ps@customFooterStyle}{\thepage}{
\color{gray}\textit{\small Keshav Anand - Page \thepage{} of \pageref*{LastPage}}
\color{gray}\textit{\small Keshav Anand - Page \thepage}
}{}{} % replace number by desired string
\makeatother
\pagestyle{customFooterStyle}
@@ -277,11 +277,8 @@
\begin{onecolentry}
\StrLen{\promptA}[\n]
\promptA{ }(\n)
\end{onecolentry}
@@ -296,10 +293,34 @@
\end{onecolentry}
\vspace{0.2 cm}
\newcommand{\promptB}{Every word amazed me. ChatGPT did not feel like yet another}
\vspace{0.3 cm}
\newcommand{\promptB}{Every word amazed me. ChatGPT did not feel like yet another website so much
as a magical portal to infinite knowledge. I still remember the thrill when my computer science teacher
unveiled the mystical tool that could ace our rock-paper-scissors coding exam in under a minute. Little did I
realize that in less than three years, AI would touch everything I do —
from school projects to software debugging, even revising this very essay. But it was in the Summer of 2023 that
my best friend asked me a life-changing question: ``How does it work?'' I was completely clueless, and I told him
that a stenographer was typing at the other end. As months passed and my AI usage expontially increased,
this question haunted me. I was determined not to be a mere user, but to understand and develop the magic
behind the curtains.
\\\\
That Summer was when I embarked on my first long-term goal: to fully understand the
inner workings of the devices and programs I use. My journey in achieving this started when I joined my
robotics team, Technical Turbulence. As the sole software member, I learned everything from scratch.
I started by dissecting each wire, realizing that understanding hardware was crucial to mastering software.
From PWM control to I2C communication, I slowly worked up the layers of abstraction, eventually
coming to the software that I was responsible to write. Today, I continue my pursuit of deep technical knowledge
through my independent research projects. In my ninth grade, I decided to grasp the fascinating concept of a
thermoelectric generator. My research eventually culminated in a novel prototype that utilized the fascinating
Seebeck effect to automatically stir a cooking pot. The following year, I dove into high-level signal processing
and machine learning concepts to develop GaitGuardian, my ISEF-winning Parkinson's research project.
Through these experiences, I have learned that true mastery comes from understanding the layers beneath the surface,
which is why I am committed to this lifelong goal of deep technical knowledge. As I continue to uncover more
information, I continue pursuing this goal through passion projects. My latest endeavor of hosting a full
server on an old chromebook is pushing me to learn Linux system administration, networking, and cybersecurity. The final
website code is the same, but the knowledge I gain from understanding the server-side is invaluable. It is with this goal
in mind that I approach RSI, eager to learn from experts and deepen my understanding of computer science.}