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m4Ynk-7/README.md

Hi 👋, I'm Mayank Singh

I’m a Computer Science student focused on AI and DevOPS.

I enjoy building things from scratch — neural networks, system-level tools, and full-stack applications — to deeply understand how they work under the hood.

Interests

  • Machine Learning & Deep Learning
  • Linux internals and tooling
  • AI Systems & Optimization
  • Cybersecurity and Penetration Testing

Research Work

Kuramoto–Sakaguchi Non-Local Equations (PINN)

  • Studied Deep Neural Networks for solving non-local conservation laws derived from the Kuramoto model.
  • Analysed the impact of activation functions, depth, width, and training setup on convergence and accuracy.
  • Compared PINNs with classical numerical methods, highlighting accuracy trade-offs and limitations near discontinuities.

Biologically Plausible Learning for Medical AI

  • Investigating alternatives to backpropagation using Direct Feedback Alignment (DFA).
  • Introduced ViT-DFA, applying DFA-based learning to Vision Transformers.
  • Evaluating convergence, robustness, and generalisation on medical image classification tasks.

Currently...

  • Ricing my linux for programming efficiency
  • Working on research-oriented ML projects
  • Improving system design and engineering fundamentals

Tech Stack

Connect with me:

Pinned Loading

  1. Numerical_Analysis_PINN_Approach Numerical_Analysis_PINN_Approach Public

    Solving PDEs using Numerical Analysis and PINN

    Jupyter Notebook

  2. ViT_DFA ViT_DFA Public

    Direct Feedback Alignment (DFA) on Vision Transformers for biologically plausible learning for medical AI.

    Jupyter Notebook

  3. QRNG-Kyber QRNG-Kyber Public

    Comparative Analysis of Lattice Based Cryptography : Traditonal Approach and QRNG Enhanced

    Python

  4. dotfiles dotfiles Public

    Arch Linux dotfiles using hyprland,waybar,matugen,kitty and rofi.

    CSS