Second-year AI & ML student. Competitive programmer, professional overthinker. Lifts heavy, mines deep, tracks things down, and is loyal to exactly one person. Currently funded by hope.
I'm Anton Rohith J, a second-year student in Artificial Intelligence and Machine Learning. Most of my days go between lectures, the gym, and a laptop that sounds like a jet engine when I open anything serious.
I like understanding how things work, whether that's a model, a network, or why my account balance is what it is.
| Field | Value |
|---|---|
| Name | Anton Rohith J |
| Year | 2nd, AML |
| Machine | Lenovo LOQ |
| Relationship | Taken, loyal |
| Balance | Don't ask |
I write C++ in contests where the clock is the real opponent. Reading the problem, spotting the trick, getting the complexity right, then fighting the edge cases: that loop is the best part of my week.
I'm still grinding, one Div 2 round at a time.
// my entire contest strategy #include <bits/stdc++.h> using namespace std; int main() { ios::sync_with_stdio(0); cin.tie(0); // think for 40 min // code for 4 min // debug for 2 hours }
| Verdict | Mood | Frequency |
|---|---|---|
| Accepted | Unreal | Rare |
| Wrong answer on test 2 | Staring | Constant |
| Time limit exceeded | Rewriting | Often |
| Runtime error | Off-by-one, again | Weekly |
My brain doesn't have an off switch. A single "ok" text becomes a case study, and every decision gets compiled, tested and run through three edge cases before it ships.
Upside: it makes me decent at finding the edge cases in code too.
The gym is the one place where effort turns into visible progress on a predictable schedule. Code doesn't do that. Neither do exams.
Numbers are vibes, not data.
1. Never dig straight down.
2. Always carry a water bucket.
3. Torches first, builds later.
4. The base is never finished.
Minecraft is where I switch off. Strip mining at a good Y-level with some music on is the most relaxing thing I know. It's also the only place my diamonds are real.
If you've got a server, send the IP.
Interested in cyber security, mostly open-source intelligence: finding what's already public and connecting it. Self-declared expert, officially at one thing.
| Subject | My girlfriend |
| Objective | Locate her |
| Method | she shares live location |
| Consent | Yes, always |
| Status | Solved, every time |
(Hover the redacted line. Real OSINT is about public info and consent.)
One girlfriend. One side. No alternates, no backups, no other tabs open. Loyalty isn't a feature I'm planning to ship later; it's already in production.
| Item | Priority | Funded? |
|---|---|---|
| Gym protein | High | Partially |
| Girlfriend outings | Critical | Somehow |
| LOQ upgrades | Medium | No |
| Minecraft server | Low | Free tier |
| Savings | Theoretical | No |
A Lenovo LOQ. Good enough for Minecraft with shaders, model training that wants to be bigger than the GPU, and whatever tools OSINT needs. The fans have opinions about all three.
At finding one specific person who is always sharing her location. Beyond that, still learning.
Same reason he double-checks code: he assumes there is a hidden test case.
Yes. Treats are accepted.
Artificial Intelligence and Machine Learning. Not the laundering one.
Yes, if the IP is sent and there's a spare bed.