I'm diving headfirst into the world of software engineering. While my peers are still figuring out their IDE, I'm already exploring Go, Rust, and React on my own—because why wait for the curriculum to catch up?
const aadi = {
education: "First Year @ Vedam School of Technology",
currentlyLearning: ["Go", "React", "Rust", "Advanced DSA"],
academicFocus: "Data Structures & Algorithms (Java)",
passion: "Building things that matter",
approach: "Self-driven, curiosity-fueled, iteration-obsessed",
motto: "Learn in public, build in private, share with everyone"
};I'm not just following the traditional CS path—I'm carving my own. While mastering the fundamentals through my coursework, I'm simultaneously pushing boundaries with modern tech stacks. This parallel approach gives me both depth (strong DSA foundation) and breadth (modern development skills).
$ cd ~/projects
$ ls -la
drwxr-xr-x web-apps/ # React frontends
drwxr-xr-x go-services/ # Backend APIs
drwxr-xr-x rust-cli/ # System tools
drwxr-xr-x dsa-solutions/ # Algorithm implementationsActive Projects:
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skills = {
"dsa": [
"Trees & Graphs",
"Dynamic Programming",
"Greedy Algorithms",
"Sorting & Searching"
],
"focus": "Problem-solving patterns",
"language": "Java",
"goal": "LeetCode 1000+"
}Daily Grind:
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I believe in learning by building. Every project teaches me something new. Every bug makes me a better debugger. Every algorithm sharpens my thinking.
My approach: Build fast, fail faster, learn fastest.
💌 Email: [email protected]
Looking for contributors on interesting projects? Have an open source idea? Just want to geek out about algorithms?
I'm always up for a good tech conversation!