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aprv10/README.md

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Apoorv Singh

I build things from first principles — ML papers reproduced from scratch, AI systems and agents, and full-stack applications. I build from first principles when it counts, and ship fast with the right API when it doesn't.

🌐 aprv.vercel.app


Selected Work

Project What it does
ML Attention Is All You Need The original Transformer built from the ground up — a deep dive into the architecture behind modern LLMs.
AI Global Arbitrage Multilingual trend-mining tool that surfaces early-stage tech ideas from non-English communities and turns them into actionable insights.
Agents CryptoArena · Mistral AI Human-vs-AI crypto trading battle powered by Mistral — replay historical market scenarios and compete against SAGE.
ML Snake MLP A 36K-parameter MLP that plays Snake via behavioral cloning. Trains in 5 min on CPU — no RL, no rewards, just a BFS expert and a classifier.

Notable Open Source Contributions

Project
Agent Orchestrator
Meshery
and more...

Stack

stack

Primary focus: ML from first principles · AI systems · agents · full-stack

Open to internships: ML/AI · Full-stack · DevOps


1apoorvindia@gmail.com · @xvzaprv


Reverse engineering reality one repo at a time.

Pinned Loading

  1. Attention-is-all-you-need-implementation- Attention-is-all-you-need-implementation- Public

    Transformer Implementation - This project is a deep dive into the architecture of Large Language Models. I built the original Transformer model from the ground up to understand the mathematical fou…

    Python

  2. Global_Arbitrage Global_Arbitrage Public

    Multilingual trend mining tool that discovers early-stage tech ideas from non-English communities and converts them into actionable project insights.

    TypeScript 1 1

  3. CryptoArena-MistralAI CryptoArena-MistralAI Public

    Human vs AI crypto trading battle powered by Mistral AI — replay historical market scenarios and compete against SAGE

    JavaScript

  4. Snake_MLP Snake_MLP Public

    36K parameter MLP that plays Snake using behavioral cloning. Trains in 5 minutes on CPU. No RL, no rewards — just a BFS expert and a classifier.

    Python