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Pranshu-Bahadur/README.md

Hey there! I'm Pranshu 👋

I'm a curious mind who enjoys building things at the intersection of AI, research, and real-world applications.

  • 🔬 Currently building optimized ML systems from scratch for fun & research.
  • 📈 I like working on problems where speed, scale, and strategy matter.
  • 🌱 Learning something new every day — from numerical optimization to bioinformatics to deep learning on edge devices.
  • 🧠 Philosophy: Build with clarity, test with rigor, and always keep it playful.

🛠️ What I’ve worked on lately:

  • 🚀 CUDA-accelerated Gradient Boosted Decision Trees (WarpGBM)
  • 🧬 Anti-cancer peptide classification with Recurrent Retention networks
  • 📊 Financial AI (Numerai, stock prediction pipelines)
  • 🧪 Kaggle competitions (bio + math focused)

📚 Occasional reads:

  • AI research papers, decision theory, and optimization math
  • Classics like The Art of War, Meditations, and Tao Te Ching

🌍 Connect with me:

“Between stimulus and response there is a space. In that space is our power to choose our response.” — Viktor E. Frankl


🧪 Building | 📖 Learning | ⚙️ Optimizing

Pinned Loading

  1. jefferythewind/warpgbm jefferythewind/warpgbm Public

    WarpGBM: High-Speed Gradient Boosting

    Python 94 10

  2. PackBoost PackBoost Public

    This repository builds upon Murky's ExtraFastBooster & jefferythewind's DirectionalEraSplitting.

    Cuda 8 2

  3. numerai-pipeline numerai-pipeline Public

    Python 1

  4. RetentionNetwork-for-Anti-Cancer-Peptide-Classification RetentionNetwork-for-Anti-Cancer-Peptide-Classification Public

    Torch and TF implementation of Retention Network modules.

    Jupyter Notebook