Technical Expertise & Research Domains

Methodical security assessments, exploit development, and machine learning pipelines

Offensive Security & Penetration Testing
Kali Linux Burp Suite Professional Metasploit Framework Nmap / Masscan Wireshark Hydra CrackMapExec Dirbuster / Gobuster / ffuf Maltego OSINT Suricata & Splunk SIEM Web Exploitation (XSS, SQLi, SSRF, IDOR) Linux & Windows Privilege Escalation
Programming, Data Science & Physics
Python (NumPy, SciPy, Pandas, PyTorch, FastAI) C & C++ SQL (MySQL, PostgreSQL, SQLite) JavaScript (Node.js, Vanilla ES6+) x86 / ARM Assembly Basics Computational Physics & Data Modeling Bash Shell Scripting & Automation

Featured Articles & Research Writeups

Selected technical posts on offensive methodologies and AI models

Bug Bounty July 2025

My Recon Methodology for Bug Bounty

How I approach passive and active reconnaissance before touching a single exploit — a systematic, noise-reducing methodology that turns OSINT into high-impact findings.

#recon #osint #bug-bounty
Offensive Sec June 2025

Linux Privilege Escalation: A Field Guide

A practical walkthrough of privilege escalation vectors in CTFs and real-world engagements: SUID binaries, sudo misconfigs, cron jobs, and kernel exploits.

#linux #privesc #ctf

All Publications & Technical Notes

In-depth research on penetration testing, computer vision ethics, and deep learning architectures

Bug Bounty 2025-07-14

My Recon Methodology for Bug Bounty

How I approach passive and active reconnaissance before touching a single exploit — a systematic methodology that keeps noise low and findings high.

#bug-bounty #recon #OSINT
Exploitation 2025-06-28

Linux Privilege Escalation: A Field Guide

SUID binaries, sudo misconfigs, cron jobs, writable /etc/passwd — a practical walkthrough of the techniques used in CTFs and pentests.

#linux #privesc #CTF
Deep Learning Research

Beginning Deep Learning with FastAI: Happy Faces

Convolutional neural network experiments, transfer learning on facial image classification, validation accuracy curves, and data augmentation techniques with FastAI.

#deeplearning #fastai #computervision
AI Ethics Research

Ethics & Facial Cropping in Computer Vision Models

Critical analysis of demographic biases, skin tone variations, age representations, and ethical implications in automated facial recognition datasets.

#ai-ethics #fairness #research

Solved Capture-The-Flag (CTF) Challenges & Labs

Real-world hands-on vulnerable machine exploits across VulnHub, HackTheBox, and pwn.college

25+ solved
Funbox 1 / Rookie
Funbox - Easy / Next Level
Funbox - Gamblehall
Funbox - Easyenum
Funbox - GaoKao
Funbox - Lunchbreaker
Funbox - Scriptkiddie
Funbox - Under Construction
Mr. Robot (VulnHub)
Planet - Mercury
DC-1 (Drupal Exploitation)
DC-2 (WordPress & RBash Escape)
Quaoar (VulnHub)
Insomnia (Web & Privesc)
Inferno 1.1
Cheesy - Cheeseyjack
Sunset - Noontide
Hackerfest 2019
Cysec 1 & Cysec 2
Cereal 1
pwn.college - Linux Luminarium
pwn.college - Computing 101
pwn.college - Playing with Programs
The Office: Doomsday Device
Monitoring 1 / Tenderfoot

Bugcrowd Bug Bounty Resolved Findings

Active vulnerability submissions and validated findings submitted through responsible disclosure and Bugcrowd programs.

Bugcrowd Resolved Reports - Jithesh Kuyyalil

Certifications & Credentials

Verified professional accreditations and higher academic degrees

INE eJPT
Junior Penetration Tester
INE Security
Certified: July 2025
Google
Cybersecurity Professional Certificate
Google
Certified: Feb 2025
PhD
Doctor of Philosophy in Physics
Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR)
Conferred: March 2012

Professional & Academic Career

A decade of computational modeling, scientific rigor, and programming

Freelance Python Programmer & Technical Mentor 2015 – Present
New York City, NY
Engineering custom Python automation pipelines, data processing tools, and mathematical/financial models. Training students and aspiring developers in clean code practices, security basics, and algorithms.
Computational Research Analyst Jun 2016 – Oct 2016
Brookhaven National Laboratory (BNL), NY
Developed specialized Python algorithms for complex X-ray diffraction data analysis, synchrotron beamline automation, and material characterization datasets.
Research Scientist 2013 – 2015
Department of Physics, Boston University, MA
Conducted high-precision experimental and computational research on oxide materials for next-generation solid oxide fuel cells (SOFCs) and electronic devices.

Get In Touch

Direct communication for security engagements, consultations, or research discussions

Contact Coordinates

📍
Location
New York City, NY, USA
✉️
Email Address (Spam-Protected)
🌐

Encrypted & Responsible Disclosure

For sensitive vulnerability findings, security advisory discussions, or proprietary research, PGP encrypted communication is preferred.

# Encrypt your message with GPG:
gpg --encrypt --armor --recipient jithesh < message.txt

# PGP Public Key available upon email verification.