Aatish Sharma

Infosec Practitioner | ML Explorer | Tech Enthusiast

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About Me

I’m a cybersecurity enthusiast with a strong foundation in cryptography, ethical hacking, and machine learning. I blend academic learning with real-world practice, working on projects that combine AI and security. I believe in continuous learning and pushing boundaries to build robust digital defenses.

Current Focus

Working on hybrid AI-based fraud detection systems and practical cryptographic applications. Deploying secure and intelligent systems using ML, GANs, LSTM, and Isolation Forests.

Projects

Anomaly Detection System

Python, ML Algorithms

Used Python and ML algorithms to detect unusual patterns and outliers in time-series data, aiding early threat detection.

Hotel Management System

Spring Boot, MySQL

Developed a full-stack web app to manage bookings, customer data, and pricing models.

Deep Learning Cryptography

TensorFlow, Neural Networks

Explored novel encryption schemes by integrating neural networks with traditional cryptographic methods.

Hybrid AI Detection Engine

GANs, LSTM, SHAP

Built a fraud detection engine for both predictive accuracy and explainability.

Education

M.Tech (CS & InfoSec)

PEC Chandigarh (2024–2026)

B.Tech (Information Technology)

JUIT, Solan (2020–2024)

GPA: 8.6

Certifications

  • Google Cybersecurity Professional
  • Certified Network Security Practitioner (SecOps)
  • Certified AppSec Practitioner (SecOps)
  • API Security Fundamentals

Achievements

  • GATE qualified on first attempt
  • Ranked Top 3% on TryHackMe

Skills & Tools

Languages

Python SQL Bash Java C/C++ React KQL

Tools

TensorFlow Docker Wireshark Metasploit Kali Linux Elastic Stack