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Achievement: Pull Sharkx2Achievement: YOLO

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@MindMorph-LABS

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ayush585/README.md

💻 Ayushman Mukherjee


📍 India   |   🧠 Builder | 🚀 Founder | 🔬 Experimenter

👋 Hello World!

I’m Ayushman Mukherjee, a 15-year-old founder and engineer building the future of AI infrastructure.

I believe the next leap in AI won’t come from bigger GPUs —
it’ll come from smarter compute.
That’s why I founded MindMorph Labs, where we’re engineering N3L (No-Backprop, No-GPU, Low-Rank Local Learning) — a CPU-first training paradigm that adapts large transformer models without backprop or GPUs.

🚀 Featured Projects

  • 🧠 MindMorph N3L — Forward-only local learning for large models. CPU-only training with sketch-based low-rank adapters. (Private Repository under MindMorph Labs)
  • ⚙️ SmartChunk — Python CLI for structure-aware document chunking in RAG pipelines.

🎯 What I’m Working On

  • 🔬 Prototyping forward-only optimization for large language models.
  • 🧩 Exploring reinforcement learning and decision-making in simulation environments.
  • 📊 Building full-stack apps with Flask + React + Firebase.
  • 🌐 Writing technical blogs & documenting my research journey on Medium.

💡 Current Goals

  • 🚀 Complete DevDotCom’s 15-Day Project Challenge with a technically deep AI project.
  • 🥇 Win hackathons with scalable, research-backed builds.
  • 📚 Learn deployment & production-grade AI workflows (Docker, API inference, quantization).

🧠 This profile highlights both my AI infrastructure research (MindMorph Labs / N3L) and my full-stack development projects.
I love building systems that make AI training and deployment accessible anywhere — from local CPUs to global-scale inference.

🛠️ Skills & Tools

Bridging AI research, infrastructure, and full-stack systems.

🧠 Artificial Intelligence / Machine Learning

PyTorch Hugging Face Transformers LangChain LoRA / DoRA Fine-Tuning LLMs Reinforcement Learning Quantization Transfer Learning

⚙️ AI Infrastructure & Optimization

Forward-Only Learning Local Learning Low-Rank Adapters Sketch-Gradients Error Feedback CPU Optimization C++17 Kernels PyBind11 oneDNN / OpenBLAS ONNX Runtime

💾 Data Engineering / Pipelines

Parquet JSONL Feature Sketching LangChain RAG Firebase Firestore Realtime DB SQL Weights & Biases

🌐 Full-Stack / Frameworks

Python Flask JavaScript React Next.js HTML5 CSS3

🧩 DevOps / Tools

Git GitHub Docker GitHub Actions WSL2 Render Railway Vercel VS Code Postman

✍️ Creative / Documentation

Canva Medium Docs Research Writing

🏆 Highlights

📊 GitHub Stats

🤝 Looking to Collaborate On

  • Forward-only / local learning algorithms
  • AI infrastructure & low-resource model adaptation
  • Open-source developer tools & educational AI apps

📫 Reach Out

📧 Email •
🐦 Twitter / X •
💼 LinkedIn •
📝 Medium

⚡ Fun Fact

I’m 15 and already training LLMs while sipping chai ☕ — let’s build something cool together!

Pinned Loading

  1. SmartChunk SmartChunk Public

    SmartChunk is a lightweight, structure-aware semantic chunking toolkit designed to supercharge RAG (Retrieval-Augmented Generation) and LLM pipelines. Unlike naive splitters that break text arbitra…

    Python 10 1

  2. SignDAO-ETHOnline2025 SignDAO-ETHOnline2025 Public

    AI-powered oracle for sign language voting in DAOs, with ZK privacy.

    TypeScript 3

  3. hallucination-detector hallucination-detector Public

    Developed as part of IEM HackOsis 2.0 under Problem Statement HOGN02. Team Goal: Build a system that balances speed, accuracy, and explainability while remaining scalable and practical.

    Python 1

  4. kornia/kornia kornia/kornia Public

    🐍 Geometric Computer Vision Library for Spatial AI

    Python 11.1k 1.1k

  5. edgex edgex Public

    Edgex is a Gen Z-powered AI mentorship movement — not just code. We help students navigate emotional chaos and career confusion with smart, empathetic AI. Built with passion, heart, and vision. 💬🎯 …

    JavaScript 14 35

  6. Chronos Chronos Public

    Chronos ⏰💵 is a recurring payments dApp for PYUSD, PayPal’s ERC-20 stablecoin. It lets anyone schedule recurring transfers (daily, weekly, monthly, or custom) and execute them on-chain with one cli…

    TypeScript 1