- π M.Sc Cyber Security @ National Forensic Sciences University (NFAT AIR-34)
- π― Top 6% [HACKER] on TryHackMe with 100+ labs completed
- π National Champion - Smart India Hackathon Winner
- π₯ Runners Up - Accenture Innovation Challenge (Top 0.004%)
- π Passionate about Web Security, Network Security & Cloud Security
- π» Full Stack Developer with expertise in MERN Stack & Next.js
- π« Reach me at: tanujkashyap8124@gmail.com
- β‘ Fun fact: I break code to secure it, then build it better! ππ»
Penetration Testing π
security_toolkit = {
'web_security': ['Burpsuite', 'ZAP-proxy', 'ffuf', 'Gobuster'],
'network_analysis': ['Nmap', 'Wireshark', 'Metasploit'],
'exploitation': ['Metasploit', 'OpenZap'],
'os': ['Kali Linux', 'Linux', 'PowerShell']
}Development Stack π»
const techStack = {
languages: ['Python', 'JavaScript', 'C++', 'HTML'],
frontend: ['Next.js', 'React.js', 'Tailwind'],
backend: ['Node.js', 'Express.js', 'MongoDB'],
ai_ml: ['LSTM', 'Deep Learning', 'ML Forecasting']
}| π₯ TryHackMe Top 6% | π₯ Accenture Innovation | π Samsung Finalist | π₯ Smart India Hackathon |
|---|---|---|---|
| 100+ Labs Completed | Rank 2nd/45,000+ teams | Top 10 (Rank 8) | Winner |
| 65 days streak | Top 0.004% globally | 50,000+ participants | 60% user reach boost |
| Nov 2025 | Nov 2024 | Aug 2024 | Dec 2023 |
- GATE CSE 2025 - Qualified (Score: 420)
- M.Sc Cyber Security - NFAT AIR-34, NFSU Gandhinagar
- B.Sc (Hons) Computer Science - SGPA: 8.2, Guru Ghasidas Vishwavidyalaya
π Tech Stack: Python ML MERN Stack RESTful APIs Map Integration
β¨ Impact & Innovation:
- π₯ 500+ active users managing groundwater resources
- π€ 100% automation of groundwater level forecasting
- πΊοΈ 1,000+ water resources mapped for community access
- π 25% improvement in groundwater management
- π Real-time predictions eliminating manual work
π Tech Stack: LSTM Deep Learning React.js Express.js Node.js
β¨ AI-Powered Security:
- π― 72% accuracy in detecting manipulated media
- π Frame extraction with temporal feature analysis
- β‘ Real-time classification of deepfake content
- π§ LSTM-based model for video/image authenticity
- π‘οΈ Fighting misinformation with AI technology
π Tech Stack: Machine Learning MERN Stack UI/UX Optimization
β¨ Smart India Hackathon Winner:
- π National Winner with innovative ML features
- π― 9+ unique features with ML techniques
- π 60% increase in user reach through optimization
- β‘ Enhanced UI/UX for better user experience
- π€ Intelligent matching algorithms
June 2024
- Developed advanced web applications with modern tech stack
- Implemented ML-based forecasting systems
- Served 500+ users with scalable architecture
January 2023
- Frontend development using React.js & Tailwind CSS
- Built responsive and interactive user interfaces
- Collaborated on multiple educational projects




