AI Researcher · Mechanistic Interpretability • Explainable AI • Trustworthy AI

---

👋 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

Frameworks & Runtimes

AI-Assisted Dev & Tools

Cloud & Deployment

Design

---

📊 GitHub Stats

---

📫 Reach me on LinkedIn or through my portfolio

💫 From Sreehari R with ❤️