Hi, I'm Warith! I graduated from Allen HS, and currently study at UT Austin.
As you will probably figure out, I am a huge nerd when it comes to tech and especially with numbers. My main extracurricular in high school was UIL Academics, where I helped my high school pull off a plethora of firsts (including winning two individual golds my final year competing). I've still carried on this competitive spirit in college through ICPC and the Putnam, but also serve as an officer for UTPC and Texas Science Bowl.
As you can read more about below, I've had a lot of opportunities (both personal and through work) to dive into my interests in the fields of cryptography, numerical analysis, and software development. Some of the projects I'm most proud of are my kpop release predictor and our TSB tournament question database. I've also done bioinformatics research during my freshman year, and currently work as a SWE intern at Deloitte.
Outside of academics, I am probably following soccer (among other sports), playing card games, or solving crosswords and logic puzzles. I also play a lot of TETR.IO (peaked Top 1.9K globally) and listen to a lot of K-pop (psst check this out).
Running SQL automations for email/SMS notifications and delivery failure tracking :)
CS 311 TA: weekly office hours, discussion sections, grading problem sets and exams
Designed Tines workflow for automated vulnerability detection; formatted phishing reports for City of Austin
Write physics tests for hundreds of students, including the TMSCA state test tied to scholarship eligibility
Built pipeline identifying differentially expressed genes in sister salamander species; identified 20 key proteins
Contributed to UT Registration Plus (60,000+ users), focusing on calendar UI and logic
Mentored K–12 students in math, documenting daily progress for parents
Developed Python scripts under Dr. Chris Davis using NLTK to analyze linguistic data from webpages
In addition to work experience, I've written for various academic competitions:

Web app predicting K-pop album release dates — ML script analyzes scraped historical records to visualize trends.
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Website storing Science Bowl questions in Atlas DB, auto-compiling them into LaTeX packets. Replaces a fully manual process.
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Flask app using requests + multi-threading to display statewide UIL results, with CSV export support.
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Web version of a card game: sort distributed cards without verbal communication that reveals card values.
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