I'm a Computer Science undergraduate specializing in backend engineering, distributed systems, and ML-powered applications. I am passionate about designing asynchronous APIs, concurrent systems, and production-ready architectures.
- 🔭 I’m currently focusing on: High-performance Backend Systems, Networking, and secure protocol development.
- 🔧 Core Strength: FastAPI, Async Python, REST/UDP APIs, and Systems Architecture.
- 🐳 Infrastructure: Docker, Linux Administration, CI/CD Pipelines.
- 🧠 Machine Learning: Feature Engineering, Model Evaluation, Data Pipelines (Scikit-learn, TensorFlow).
- 🔐 Security Interests: Network Analysis, IDS (Intrusion Detection Systems), Encrypted Tunnels.
| Category | Technologies |
|---|---|
| Languages |     |
| Backend |    |
| Tools & DevOps |    |
| Data & ML |     |
Tech: Python • CustomTkinter • AES-256-GCM • X25519 • UDP Relay Support
A specialized, secure local VPN tunnel designed for maximum privacy, DPI evasion, and traffic obfuscation.
- 🛡️ Double Encryption: Wraps traffic in AES-256-GCM before it hits the network interface.
- 🔑 Ephemeral Keys: Utilizes X25519 for secure key exchange; keys are systematically wiped from RAM on disconnect.
- ⚡ UDP & TCP Support: Relays both TCP and UDP traffic (like VoIP and gaming) through the secure tunnel.
- 🚫 Strict Mode: Built-in kill switch and system-wide proxy routing for zero-leak operations.
Tech: FastAPI • Flutter • Docker • SQLite
Designed a scalable backend for secure file processing and malware scanning.
- ⚡ Optimization: Reduced storage usage by ~80% using efficient compression algorithms.
- 🔒 Security: Integrated VirusTotal API for real-time malware scanning of all user-uploaded files.
- 🐳 Scalability: Dockerized document pipelines to ensure resource isolation and system reliability.
Tech: Python • Scikit-learn • Streamlit
A robust machine learning pipeline for detecting network anomalies and malicious attacks.
- 🎯 Accuracy: Achieved 95%+ accuracy evaluated on the comprehensive UNSW-NB15 dataset.
- 🛠️ Engineering: Extracted and engineered 15+ specialized network features directly from raw packet data.
- 📊 UI/UX: Built a real-time visualization dashboard using Streamlit for monitoring simulated traffic flows.