Building intelligent systems while figuring out where I fit in the AI landscape

• 🎓 B.Tech in Computer Science @ Amrita Vishwa Vidyapeetham
• 🔬 Exploring AI/ML applications across different domains
• 🎯 Current Focus: Applied deep learning, AI for cybersecurity research
• 🌱 Learning: PyTorch, Graph Neural Networks, Advanced ML architectures
• 💡 Passionate about: Using AI to solve real-world problems (not just building CRUD apps)
• 🔍 Experimenting with: AI applications in security, healthcare, and legal tech

Systems & Security:

AI/ML:

Systems Security & Binary Analysis | Rust • WinAPI • HCS • Chrome API $|$ \emph{Jan 2026 -- Present} Engineered a high-performance Rust security engine that performs real-time byte sequencing and forensic analysis to intercept and neutralize malicious payloads within isolated sandbox environments.

Adaptive Education System | Next.js • Gemini API

• Created AI-driven quiz platform with personalized assessment generation
• Integrated conversational AI chatbot for student support

System Automation | Windows API's+ PowerShell

• Automated Windows update monitoring and system restore point management

An XGBoost-Based Model with SHAP Explainability for Muscular Dystrophy Classification
Yadhu Vipin M.M. et al.
International Journal of Students' Research in Technology & Management (2026)
[DOI: 10.18510/ijsrtm.2026.1412]

• 🔐 AI for Cybersecurity – Applying ML to threat detection and analysis
• 🧠 Graph Neural Networks – Understanding relational data modeling
• 🏥 Healthcare AI – Medical imaging and clinical decision support
• 🌐 AI Safety & Interpretability – Building trustworthy AI systems

• 🔐 ACM Student Chapter – Cybersecurity Team (2024-2025)
• 🎬 ISL Awareness Project – Director & Lead (2025)
• 🌟 Open Source – Contributing to AI/ML projects

• 🎹 Piano (classical & contemporary)
• ⚽ Football & Badminton
• 🐧 Arch Linux enthusiast
• 📚 Philosophy & tech blogs
• ✍️ Sketching

"Still figuring out my place in AI—one project at a time."