
Aspiring Cybersecurity Engineer & Developer
// About Me
Hello! I'm Kanishka, a final-year Computer Science student with a deep-seated passion for cybersecurity. My academic journey has been a thrilling exploration of software development, algorithms, and system architecture, with a special focus on building secure and resilient digital systems. I'm driven by a desire to understand and mitigate the threats that challenge our digital world.
Through my coursework and personal projects, I've cultivated a versatile skill set that bridges the gap between software development and security. I enjoy applying theoretical knowledge to practical challenges, whether it's developing secure code, analyzing network vulnerabilities, or exploring cryptographic principles. I am eager to apply my skills and enthusiasm to a challenging role in the cybersecurity industry.
// Experience
Research Intern, Security Operations Center
ISFCR, PES University
- •Performed various email-based attacks against a Postfix server
- •Used Wazuh to detect and capture logs produced by the email server during atacks as well as normal use
- •Created a Dockerized lab setup for repeatability and portability
Research Intern, Digital Forensics and Incident Response
ISFCR, PES University
- •Performed forensic analysis on Google Drive when installed on Windows
- •Analyzed the user artefacts left behind during usage and even after uninstall
- •Prepared a playbook/guideline to collect this information
// Hackathons
HoneyShield
Terrathon 4.0
Top 10
- •Lure potential attackers with a realistic IoT device honeypot
- •Monitor and analyze attack patterns
- •Use machine learning to identify zero-day threats and sophisticated attacks
- •Detect anomalous network traffic in IoT environments
The Hack Wars
ISFCR CTF
Top 10
- •Various kinds of challenges amongst a wide range of categories
// Education
B.Tech in CSE
PES University
GPA: 8.57/10.0
Specialization in Cybersecurity and Connected Systems
Grade 12 (Karnataka State)
PES PU College
GPA: 92.3/100.0
PCMCs Stream, Integrated Programme
// My Skills
Cybersecurity
- >Network Security
- >Cryptography
- >Information Security
- >SIEM & SOAR
Development
- >JavaScript (React, Node.js)
- >Python (Django, Flask)
- >Go
- >SQL & NoSQL
- >Docker & Kubernetes
- >C/C++
Other Skills
- >Cloud (AWS, Azure)
- >CI/CD Pipelines
- >Machine Learning Basics
- >Agile Methodologies
- >Linux/Unix Systems
// Academic & Personal Projects
HoneyShield
Anomaly Detection using Machine Learning and Honeypot for IoT Security, achieving 96% accuracy and automating IP blacklisting.