P G AYUSH RAI AIML
@pgayushraiaiml
I build AI-powered SOC tools for threat monitoring, vulnerability assessment, and incident investigation.
What I'm looking for
I developed CyberSentinel, an AI-powered SOC platform for threat monitoring, intrusion detection, IP reputation analysis, CVE intelligence, OSINT, and network reconnaissance. I integrated React, Node.js, TypeScript, MongoDB Atlas, and Groq AI to centralize threat analysis and incident investigation.
I'm an AI and Machine Learning undergraduate with hands-on work in ethical hacking, network security, vulnerability assessment, and SOC-oriented security analysis. I use Kali Linux, Nmap, Metasploit, Wireshark, HackTheBox, and Google Cloud Platform labs.
I've also built a real-time AI-integrated yoga assistant and earned recognition through TECK SPARK, Anveshan, Prayog, PALS Analyze, IEEE, NCC, and Google Cloud Arcade.
Experience
Work history, roles, and key accomplishments
Aspiring SOC Analyst
Vidyavardhaka College of Engineering
AI & Machine Learning undergraduate with hands-on experience in ethical hacking, network security, and vulnerability assessment. Developed an AI-powered SOC dashboard integrating threat intelligence and intrusion monitoring.
Education
Degrees, certifications, and relevant coursework
Vidyavardhaka College of Engineering
Bachelor of Engineering, Computer Science and Engineering (AI & ML)
Grade: 8.45 CGPA
Pursuing a Bachelor of Engineering in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, currently in the seventh semester with a CGPA of 8.45.
Vivekanandha Pre University College
Pre-University, PCMB
Grade: 91.5%
Completed pre-university education in the PCMB stream with a percentage of 91.5%.
Vivekanandha English Medium School
SSLC, General
Grade: 87.04%
Completed SSLC with a percentage of 87.04%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
github.com/MajenayuJob categories
Skills
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