Computer Engineering student interested in Machine Learning, Software Engineering, and Cybersecurity. I enjoy building intelligent systems, solving security challenges through CTFs, and developing practical solutions with real-world impact.

• Computer Engineering student with a strong interest in AI/ML and Cybersecurity
• Active participant in Capture The Flag (CTF) competitions and security labs
• Interested in applying machine learning techniques to security and automation problems
• Experienced in Android development, backend development, and embedded systems
• Passionate about continuous learning through hands-on projects and hackathons

• Machine Learning and Deep Learning
• Security Engineering and SOC Fundamentals
• Software Engineering Best Practices
• Open Source Contributions and Technical Interview Preparation

Python • Java • C++ • JavaScript • SQL

TensorFlow • Keras • Scikit-learn • NumPy • Pandas • Matplotlib

Burp Suite • Wireshark • Nmap • Metasploit • Splunk • SQLMap • Gobuster

Linux • Git • Firebase • Flask • Android Development • VMware • Jupyter Notebook

• Active participant on TryHackMe, Hack The Box, and OverTheWire

• Hands-on experience with web application security testing through PortSwigger Web Security Academy

• Practical experience in:

  • Web Application Security Testing
  • Network Enumeration and Vulnerability Assessment
  • Active Directory Fundamentals
  • Security Monitoring and Log Analysis using Splunk

• Maintained a personal security lab using Kali Linux and VMware for learning and experimentation

• 🏅 Latrobe Technology Infusion Grand Challenge – Acquired Funding
• 🏅 Smart India Hackathon (SIH) – Runner Up
• 🏅 Cause Hackathon – Best Startup Award
• 🏅 CyberStorm 2025 – Google Developer Groups × SIES GST

• LinkedIn: https://www.linkedin.com/in/arpit-deosthale/
• GitHub: https://github.com/Arpit483