Sarvasv Arora bio photo

Sarvasv Arora

Contemplatin' and vibin' ✨✔️
Computer Science and Statistics at McGill University
Montreal via New Delhi
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Sarvasv Arora

सर्वस्व अरोड़ा

Just a cute (???) picture of me @4 and my sister @2, cuz why not ¯\_(ツ)_/¯

About me

Namaste! I am a first year undergrad at McGill University, studying Computer Science and Statistics. I was born and brought up in Delhi and would be moving to Montréal for my education very soon (thanks COVID-19 for the year-long delay __/\__).

My academic interests are mainly in Deep Learning, Functional Programming, and Applied Math. I’m usually looking for ways to apply the stuff I learn and spin it up into something useable. I also like web development (mostly backend) and scripting with Bash or Python. I’m planning to dabble a bit into Economics and Entrepreneurship in the near future.

When I’m not being a nerd, I like to do some casual gaming, binge watch YouTube videos, scroll through memes/xkcd, vibe to my favorite artists’ latest releases (HMU for Punjabi song suggestions :p), or just hang out with text my friends. Oh, and I also play recreational Soccer and Badminton.

Feel free to ping me for having convos about CS, life as an international student, all thingz desi (a.k.a. Indian), or pretty much anything else in general!


I’m working on a cool project with my friend (more on it soon), trying to fathom the math behind NLP systems, completing assignments on the deadline day, applying to internship positions for Summer 2021, and doing…

Crap. I’m just learning how to cook. Thanks mom :”)

Contact me

For collaborations and advising, please contact me via my Email.
If you have any questions or critical comments regarding my blog posts, please post your questions under the blog post. If you have any questions regarding my GitHub open source projects, please open an issue ticket in the repository. This will be beneficial for all the readers and save my time for not answering duplicated questions.

Otherwise, my DMs are always open.


If you feel that this website seems (kinda) familiar, then you’re not wrong! It’s based on the famous Minimal Mistakes theme powered by Jekyll.

Big shoutout to Jordi Pont-Tuset; much of the initial code for this website came from his repository, with some major tweaks done by me.