Avaneesh

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

AutoForensics

Autoforensics is a cutting-edge forensic analysis tool designed specifically for smart vehicular networks and V2X (Vehicle-to-Everything) communication systems.

python node flask react

Try Online Source Code

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

IoT Security Operation Center: Using Open-SourceTools

Designed and developed a Security Operations Center for IoT environments.Integrated machine learning (Isolation Forest) to minimize false positives and false negatives in threat detection., Implemented real-time data collection, log monitoring, and alert generation.

Python ML C Raspberry Pi

View Report

Evidence Chain of Custody Management System

Developed a decentralized application using blockchain to ensure secure case management and chain-of-custody, Utilized IPFS for decentralized data storage and enhanced tamper-resistance.

IPFS Ethereum Smart Contract Blockchain

Research Paper GitHub

Network Intrusion Identification System

Built a network intrusion identification system with 95% accuracy in identifying type of threat based on NSL-KDD dataset for threat identification.

Python ML KNN NSL-KDD

Tutorial Hardware Setup