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@R3ACTR

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Sree14hari/README.md
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AI Researcher · Mechanistic Interpretability • Explainable AI • Trustworthy AI

Portfolio LinkedIn ORCID


👋 About Me

  • 🎓 B.Tech in Artificial Intelligence & Machine Learning, Sree Buddha College of Engineering, Pattoor (2023–2027)
  • 🔬 Researching Vision Transformers, Explainable AI (XAI), and multimodal fusion architectures
  • 🏆 Best Paper Award — ICITIIT'26, IIIT Kottayam (ADA-XAI: Adaptive Faithfulness-Driven Explainability for Brain Tumor Diagnosis)
  • 🚀 Founder of R3CTR, creator of KTU Hub and PaperLab
  • 💬 Ask me about Interpretability for ViTs, hybrid frameworks, or multimodal fusion pipelines

🧪 Featured Research

ADA-XAI: Adaptive XAI published · 08.2025–03.2026 Faithfulness-driven explainability for hybrid EVA-02 + deformable CNNs in brain tumor diagnosis. Repo

**CRDA: Cross-Reasoning Disagreement Analysis for Uncertainty Quantification in Hybrid Voice Classification** `accepted` · 2026–Present

🛠️ Tech Stack

Languages

Python TypeScript C Dart

Frameworks & Runtimes

Next.js Flutter Bun Tailwind CSS Firebase

AI-Assisted Dev & Tools

Claude Cursor Git VS Code

Cloud & Deployment

Vercel Netlify Render

Design

Figma Photoshop Illustrator Canva


📊 GitHub Stats

GitHub Stats Top Languages
GitHub Streak
Activity Graph
Snake animation

📫 Reach me on LinkedIn or through my portfolio

💫 From Sreehari R with ❤️

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  1. DinoNet-Gradient-Focal_transformer DinoNet-Gradient-Focal_transformer Public

    Jupyter Notebook 1

  2. ADA-XAI-MRI ADA-XAI-MRI Public

    Jupyter Notebook 1

  3. CRDA CRDA Public

    Jupyter Notebook

  4. DualStream-SFM-Spectrogram DualStream-SFM-Spectrogram Public

    Jupyter Notebook