Student
Biotechnology student at KIIT University with a strong interest in applying structured scientific thinking to cybersecurity.
Biotechnology × Cybersecurity × AI Security
Student at KIIT University building a professional security mindset through labs, certifications, and AI security research.
I study Biotechnology at KIIT University and have been learning cybersecurity for the past 4 years. I hold the Google Cybersecurity Certificate, actively solve labs on TryHackMe and Hack The Box, and I’m currently enrolled in TryHackMe AI1 before moving toward eJPT and CPTS/OSCP-level practice.
About
I’m combining a scientific education with practical cybersecurity learning. My focus is ethical hacking, AI security, threat analysis, secure systems, and writing clear technical reports.
Biotechnology student at KIIT University with a strong interest in applying structured scientific thinking to cybersecurity.
Learning cybersecurity for 4 years through labs, notes, certifications, writeups, practical research, and continuous practice.
Currently focused on prompt injection, RAG security, model supply chain risk, AI threat modelling, and LLM abuse prevention.
Skill Stack
My learning is practical-first: understand the concept, test it in a legal lab, document the result, then improve the methodology.
Networking, Linux, security concepts, risk thinking, basic SOC knowledge, and defensive foundations.
Recon, authentication flaws, access control issues, common OWASP-style vulnerabilities, and lab exploitation.
Prompt injection, indirect injection, RAG poisoning, model supply chain security, and safe AI system design.
TryHackMe and Hack The Box practice focused on enumeration, exploitation, privilege escalation, and reporting.
Writing clear findings with impact, steps to reproduce, evidence, and practical remediation.
Google Cybersecurity Certificate completed; currently moving through AI1, then eJPT, CPTS, and OSCP-level goals.
Hands-on Labs
I use labs to build real methodology: enumerate, verify, exploit only in scope, document, and learn from every mistake.
I’ve solved many labs across TryHackMe and Hack The Box. The goal is not only flags — it’s developing calm enumeration, practical exploitation logic, and clean reporting habits.
Service discovery, content discovery, notes, and attack surface mapping.
Lab-based validation of vulnerabilities while staying inside legal practice environments.
Linux and Windows practice focused on misconfigurations, enumeration, and escalation paths.
Projects
Projects that show practical thinking: detect risk, explain impact, and build safer systems.
A defensive AI security scanner concept for detecting prompt injection, RAG poisoning, sensitive data exposure, risky tool-use instructions, and OWASP LLM-style risks before documents enter a RAG pipeline.
A structured collection of lab notes and ethical writeups focused on enumeration flow, exploit reasoning, privilege escalation learning, and remediation-first explanations.
Roadmap
A focused path from fundamentals to practical penetration testing and AI security specialization.
AI1
Learning AI security fundamentals, prompt security, RAG risks, model supply chain issues, and practical AI system threats.
Completed foundational cybersecurity training and built a structured base.
Currently enrolled and focused on AI security, prompt injection, RAG, and LLM threat models.
Next target for practical junior penetration testing fundamentals.
Long-term goal: advanced practical penetration testing skill and professional methodology.
Contact
I’m open to learning opportunities, security discussions, collaborations, internships, and beginner-friendly cybersecurity projects.
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