Repository includes projects and insights from a final-year CSE-AI student. Notable works include a CNN-based audio deepfake detector and a complete userspace TCP/IP stack in C++. Demonstrates proficiency in systems programming, computer vision, and cloud tooling.
From the README
--- 🧠 About Me • 🔭 Final-year CSE-AI student who builds systems end-to-end — from raw TCP packets to trained neural networks. • 🤖 Built a CNN-based audio deepfake detector on 121,000+ samples, achieving a 23.93% Equal Error Rate on unseen attack types. • 🌐 Implemented a complete userspace TCP/IP stack in C++20 — full RFC 793 state machine, zero OS networking calls, zero external libraries. • 🧩 Approach engineering with a product mindset — cutting model size by 90% and defect turnaround time by 35% through disciplined design. • ⚙️ Comfortable across the stack: systems programming, computer vision, full-stack web, and cloud tooling. 🎯 Open To --- 🛠️ Tech...
