I am a 25-year old Software Engineer. Growing up in the Silicon
Valley, I have always had a deep appreciation for technology. At UC
Berkeley, I pursued a double degree in Computer Science &
Statistics, which enabled me to mature my appreciation of tech into
a career. I have had the opportunity to work at companies like
Tesla, AWS, and YC-backed startups.
Outside of my job as an engineer, I am passionate about education
and how tech can be used to foster better learning and improve the
transfer of knowledge.
In addition to work & teaching, I love playing chess, enjoy working
out, and have two beautiful dogs. I'm located in the San Francisco,
Bay Area 📌 and am always down to discuss big ideas over a demitasse
of espresso ☕️.
After graduating in 2020, I worked at
Amazon Web Services, where my code contributions
from the first 4 months alone directly save an estimated 27 million
dollars in annual capital expenditures. After about a year, I left
to join Together, a YC-backed mentorship platform
for peer-to-peer learning. Here, I was part of the lean 6-person
product team where I got the chance to learn how to ship core
features end-to-end. Most recently, I have worked at
Tesla ⚡, where I worked on Toolbox, the primary
diagnostic platform used by tens of thousands of Tesla/3rd party
technicians.
I have previously also worked on my own project:
Leaf, a platform which enables educators to make better coding
tutorials online. With Leaf, we took scrollytelling -- the concept
of transforming long-form text into an interactive experience -- and
applied it to coding tutorials. We enabled computer science
educators to author interactive coding tutorials without having to
write a single line of code. See
this example
of the type of blog posts one can make using Leaf. My buddy and I
designed & built the platform from the ground up, interviewed with
YCombinator, conducted user calls and outreach to help guide product
iteration, & were featured on the front page of both
ProductHunt
&
HackerNews , receiving nearly 200 account signups from real people.
Outside of my job as an engineer, I am passionate about education
and how tech can be used to foster better learning and improve the
transfer of knowledge.
I took my first coding class in high school.
I hated it. ‘Coding just isn’t for me,’ or so I thought. It wasn’t
until my Teacher Assistant (TA) at Berkeley refreshed my perspective
that I discovered the beauty of computer science, and how empowering
coding can be.
I teach in the aspiration of having such an impact
on others.
Coding is beautiful. My initial misconceptions of it
allow me to accelerate students’ toward that eventual conclusion. I
empathize with my students, having myself once resented
hard-sounding concepts like ‘abstraction’ and ‘recursion’. That
empathy enables me to cut through the lingo and convey fundamental
understanding. I tailor a practical curriculum where I bring my past
misunderstandings, teaching, and industry experience to the table.
In university, I was an USACO computer science teacher with
Juni Learning (YCW18)
for two years.
I have a Youtube channel called
Mathile, where I focus on making explanatory math / ML videos. For
example, see this one about
The Birthday Problem, a common statistical paradox. This summer, I also plan to host my
own
Palo Alto Coder Camp, to teach young kids coding in my neighborhood.
Leaf
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AH2023
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Palo Alto Coder Camp
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Mathile
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A Random Forest Classifier
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Indeed Datathon
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Trading Engine
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Gaussian Discriminant Classifier
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Gitlet
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