• Electronics & Communication Engineering Student @ FOT - University of Delhi.
• Published Researcher in Applied AI for Healthcare - Co-Author of The Transpaernt Heart: XAI in Cardiology
• Interests: Edge AI/ML • Robotics • VLSI • Applied Machine Learning • Hardware-Software Co-Designing

I love building things that sit at the intersection of hardware and AI — from compilers that squeeze ML models onto edge silicon, to wearable biosensors that turn raw signals into clinical-grade insights. When I'm not deep in Verilog or Python, I'm probably reading about the latest in edge computing or tinkering with a new Raspberry Pi project. Let's connect and build something great together!

• 🛡️ SentinelRAG — Enterprise AI auditor with dual-stage LLM validation (heuristic + Gemini 2.5 judge), weighted trust scoring, and a prompt-injection firewall.
• 🔍 VerifAI — High-throughput media piracy detection engine with a custom C++17 perceptual hashing core achieving 200+ FPS and a 65× Python speedup, deployed on Cloud Run.
• ❤️ Real-Time Wearable Biosensor — Clinical-grade ECG/PPG monitoring on Raspberry Pi with real-time DSP for noise rejection, achieving ~60% SNR improvement and <200ms latency.
• 🧠 NeuroVolt — Hardware-aware mixed-precision (INT8/FP16) ML compiler for AMD XDNA NPUs, achieving >40% memory footprint reduction and 1.8× inference throughput. (AMD Developer Hackathon 2026)

• 📄 The Transparent Heart: Explainable AI in Cardiology — Co-authored book chapter on XAI for ECG interpretation and clinical risk stratification (Elsevier, accepted/forthcoming)
• 📈 AI-Driven Patient Monitoring via Time-Series Analysis — LSTM-based HRV forecasting with <2% MAE, supervised by Dr. Vanita Jain

           
Building at the edge — one chip, one model, one signal at a time ⚡