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Debddj/README.md

README (1).md

Debnil Dey

AI Engineer Β Β·Β  ML Researcher Β Β·Β  Builder

Typing SVG


LinkedIn GitHub Profile Views


🧠 About Me

debnil = {
    "name"      : "Debnil Dey",
    "role"      : "AI Engineer πŸ€–",
    "location"  : "πŸ“ Kolkata, West Bengal, India",
    "focus"     : [
        "Large Language Models",
        "Reinforcement Learning",
        "Computer Vision",
        "Clinical AI",
    ],
    "learning"  : ["RAG", "Multimodal LLMs", "AI Agents"],
    "fun_fact"  : "Built EM AR gloves in a browser 🧲"
}
  • πŸ”­ Passionate about building AI that solves real-world problems
  • 🏭 RL system achieving 36% cost savings in smart manufacturing supply chains
  • 🧬 Built a CDSS with 91% recall for clinical liver disease prediction
  • ⚑ Created browser-native AR hand tracking with zero installs
  • πŸ’¬ Ask me about LLMs Β· ML pipelines Β· Agentic AI Β· Computer Vision

πŸ› οΈ Tech Stack

πŸ€– AI / Machine Learning

Python PyTorch TensorFlow scikit-learn Hugging Face LangChain OpenCV XGBoost

πŸ–₯️ Backend & APIs

FastAPI Docker Jupyter

🌐 Frontend & Visualization

React TypeScript Three.js

βš™οΈ Tools & DevOps

Git GitHub Actions


πŸš€ Featured Projects

🏭 Smart Manufacturing ML-MAS

Multi-Agent Supply Chain Optimization with Reinforcement Learning β€” production-grade RL system for Industry 4.0

Metric Result
πŸ’° Cost Reduction vs Baseline 36%
πŸ›‘οΈ Resilience Score (under disruption) 0.998 / 1.000
πŸ“¦ Order Fill Rate 99.7%
πŸ” Training Scale 100 episodes Γ— 182K steps
πŸ“Š Dataset 913K rows (multi-store demand)

Python Q-Learning RL RandomForest scikit-learn Chart.js Multi-Agent Systems GitHub Pages

Repo Live Dashboard


⚑ MagnoGlove Pro

Browser-native AR Hand Tracking with real-time Electromagnetic Physics Simulation β€” no install required

  • 🀲 Dual-hand real-time tracking β€” 21 landmarks Γ— 2 hands via MediaPipe Vision AI (GPU-accelerated WASM)
  • 🧲 Gesture-controlled EM force model β€” FIST (100% pull Β· cyan glow) Β· PINCH (35% precision Β· amber) Β· OPEN (gravity release)
  • ⚑ Inter-hand lightning arcs Β· PBR metallic objects Β· WebGL 2.0 rendering Β· 200-particle systems
  • πŸ“ Geometry mode β€” Heron's formula, Triangle Inequality Theorem, live circle projections with real-time spatial math
  • 🌐 Zero install β€” runs entirely in browser, deployed via GitHub Actions CI/CD to GitHub Pages

MediaPipe Three.js r160 Cannon-es Physics WebGL 2.0 Vite GitHub Actions

Repo Live Demo


🧬 LiverInsight CDSS

Clinical Decision Support System for Liver Disease Risk Assessment β€” interpretable AI with SHAP explainability

Model Recall Precision AUC
⭐ XGBoost (Primary) 91% 84% 0.92
Random Forest 87% 81% 0.89
Logistic Regression 87% 82% 0.90
Clinical Target β‰₯85% β‰₯70% β‰₯0.80

XGBoost SHAP UMAP FastAPI React 18 TypeScript Tailwind CSS

Repo


πŸ“Š GitHub Stats

GitHub Stats Β  Top Languages
GitHub Streak

πŸ“ˆ Contribution Activity

Activity Graph

"AI isn't just about building models β€” it's about building the future."


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⭐ If you find my work interesting, drop a star on my repos β€” it means a lot!

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