Avaneesh

AI Engineer & Cybersecurity Specialist

Securing the future with intelligent systems

About Me

Passionate AI Engineer and Cybersecurity Specialist with 5+ years of experience building intelligent systems and securing digital infrastructures. I specialize in developing machine learning models for threat detection, implementing zero-trust architectures, and creating AI-powered security solutions.


My expertise spans from deep learning and neural networks to penetration testing and incident response. I believe in the convergence of AI and cybersecurity to create autonomous defense systems that can adapt and evolve against emerging threats.


When I'm not coding or analyzing security vulnerabilities, you can find me contributing to open-source projects, participating in CTF competitions, or researching the latest developments in adversarial AI.

Technical Arsenal

🤖 AI & Machine Learning

Deep Learning (TensorFlow, PyTorch)
Computer Vision & NLP
MLOps & Model Deployment
Reinforcement Learning

🛡️ Cybersecurity

Penetration Testing
Network Security
Incident Response
Threat Intelligence

💻 Programming & Tools

Python, C++, Java
Docker, Kubernetes
AWS, Azure, GCP
Linux, Bash, PowerShell

Featured Projects

AI-Powered Threat Detection System

Advanced machine learning system that analyzes network traffic patterns to detect and classify cybersecurity threats in real-time. Achieved 94% accuracy in identifying zero-day attacks.

Python TensorFlow Kafka Docker
View Code Live Demo

Adversarial Attack Defense Framework

Research project developing robust defense mechanisms against adversarial attacks on deep learning models. Implemented novel techniques for adversarial training and detection.

PyTorch CUDA NumPy Jupyter
Research Paper GitHub

Automated Vulnerability Scanner

Intelligent penetration testing tool that combines traditional scanning techniques with AI-driven analysis to identify and prioritize security vulnerabilities across enterprise networks.

Python Nmap SQLMap React
Documentation Download

Digital Footprint Analyzer

A Python web application that analyzes the digital footprint of a phone number, showing potential exposure across social media platforms, data brokers, and security databases.

python phonenumber flask requests
Try Online Source Code

Neural Network Intrusion Detection

Deep learning model for network intrusion detection using LSTM and CNN architectures. Deployed on edge devices for real-time monitoring with minimal latency.

Keras TensorFlow Lite Raspberry Pi MQTT
Tutorial Hardware Setup

Quantum-Safe Cryptography Suite

Implementation of post-quantum cryptographic algorithms preparing for the quantum computing era. Includes performance benchmarks and integration guides for existing systems.

C++ OpenSSL NIST PQC CMake
Whitepaper Install Guide

Connect & Collaborate

Ready to build the future of secure AI systems together?

📧 avaneesh.pandey2001@gmail.com 💼 LinkedIn 🐙 GitHub 🐦 Twitter