Offensive Security Researcher · Penetration Tester · Red Teamer
I’m an offensive security researcher and penetration tester with 3+ years of hands-on experience across web applications, APIs, mobile applications, networks, Active Directory, vulnerability assessment, and red-team operations.
My work combines offensive-security testing, research, automation, and engineering. I turn validated weaknesses into reproducible evidence, proportionate risk context, and remediation guidance that security leaders and engineering teams can act on.
Security administration, penetration testing, authorized research, and evidence-led communication across commercial and confidential environments.
Confidential maritime company · Malaysia
Administered Microsoft 365, Microsoft Entra ID, and Microsoft Defender with tenant-wide privileges, maintaining identity, access, security configuration, and day-to-day platform administration.
Confidential security environment · Organization withheld
Supported authorized security research under strict confidentiality obligations. Organization, mission, systems, scope, methods, findings, and outcomes remain withheld.
Synack Red Team · HackerOne · Bugcrowd
Assessed web applications, APIs, mobile applications, and network infrastructure for authorized programs, working with security teams through validation and remediation.
Authorized offensive-security services supported by hands-on testing, engineering capability, and evidence-led reporting. Every engagement requires written permission and a defined scope.
Assess authentication, authorization, session management, input handling, business logic, and common OWASP Top 10 risks across modern web applications.
Assess application APIs for broken object-level authorization, authentication flaws, excessive data exposure, injection, rate-limit weaknesses, and workflow abuse.
Assess exposed services, configuration weaknesses, segmentation, credential paths, and controlled privilege-escalation opportunities across internal or external networks.
Conduct objective-led attack simulations across people, applications, identity systems, and infrastructure under documented rules of engagement.
Review web application source for unsafe data flows, access-control gaps, injection paths, exposed secrets, insecure dependencies, and implementation flaws.
Assess mobile applications and supporting APIs for insecure storage, transport, authentication, authorization, and application-logic weaknesses.
Build security automation, research tooling, and controlled proof-of-concept exploits that make validation and reporting repeatable in authorized environments.
Assess AI-enabled applications for prompt and data-boundary failures, unsafe tool use, access-control gaps, sensitive-data exposure, and abuse-resistant workflow design.
All testing is permission-based and scoped in writing. Sensitive targets, client evidence, and exploit details are never published without authorization.
Hands-on capability across offensive testing, security tooling, software engineering, data systems, and established security methods.
Web applications · APIs · Mobile applications · Networks · Active Directory · Vulnerability assessment · Red teaming
Burp Suite Pro · Nmap · Metasploit · Nuclei · Katana · Wireshark · OpenVAS · Kali Linux
Python · Bash · C/C++ · TypeScript · React · Electron · Node.js · Django · Docker · MongoDB · PostgreSQL · Elasticsearch · MCP · OWASP Top 10 · MITRE ATT&CK · CVSS · OSINT
Computer-science foundations, practical security research, and evidence-led communication.
My background combines computer-science study with independent security research, coordinated disclosure, application engineering, and security-tool engineering.
I separate observation from inference, validate before claiming impact, and document findings so both security leaders and engineering teams can act.
BSc (Hons) Computer Science · Cyber Security specialisation
Taylor’s University / University of the West of England, Bristol (dual award)
First Class Honours · CGPA 3.69 · 2023—2026
Selected product engineering, offensive-security tooling, and controlled assessment evidence.
Offensive-security research workspace for controlled evidence analysis and permission-aware OSINT.
Open full-size evidence
A local-first workspace that turns authorized research data into structured evidence, high-volume analysis, interactive visualization, and read-only AI access through the Model Context Protocol (MCP).
Case-oriented persistence, structured search and filtering, resumable background operations, controlled exports, and defensive desktop integration.
Application engineering, responsible OSINT design, resilient workflows, evidence quality, and permission-aware AI integration.
TypeScript · React · Electron · Node.js · MCP
Read architecture case studyControlled full-stack security scanning platform.
A controlled platform for running automated vulnerability scans with Nuclei, managing private templates, scheduling jobs, and reviewing findings.
An authenticated web dashboard with queued scan workflows, role-based access control (RBAC), audit logging, and operational safeguards.
Security automation, full-stack application design, controlled execution, and findings-oriented workflow engineering.
Nuclei · Docker · MongoDB · JWT · RBAC
View source and documentationStructured network-security operations platform.
An open-source platform that turns network scans into structured, controlled, and auditable operational work.
Live scan status, history, reporting, scheduling, alerts, role-aware administration, and system-health oversight.
Network-security workflow design, Django engineering, operational visibility, and reliable reporting.
Django · Network Security · Scheduling · Reporting
Visit live projectOpen-source scripts for repeatable offensive-security work.
A practical collection of scripts for reconnaissance, open-source intelligence (OSINT), analysis, and repetitive offensive-security tasks.
Modular command-line tools that reduce manual work and make common research steps easier to repeat.
Automation judgment, scripting, workflow decomposition, and a preference for reusable technical work.
Python · Bash · OSINT · Workflow Automation
View toolkit on GitHubSupporting evidence across autonomous assessment, monitoring, and confidentiality-bound work.
A local-first, AI-assisted platform for authorized web and API testing, source analysis, deterministic scope control, isolated specialist workflows, evidence retention, and reproducible reporting.
Codex / OpenCode · Burp Suite MCP · Docker · Nuclei
Monitoring and analysis work built with Django and Elasticsearch.
Django · Elasticsearch
Selected authorized work remains private under confidentiality obligations.
NDA ProtectedSelected outcomes from a broader body of in-scope vulnerability research, supported by reproducible evidence, program validation, and responsible disclosure.
The organizations shown here represent selected public outcomes from broader authorized reporting and research activity.
Testing stayed within the receiving program’s published scope and disclosure rules.
Reports included evidence, impact, and enough detail for the security team to verify the result.
Eligible findings passed program review before a formal acknowledgement was issued.
Each entry represents a report accepted by the receiving program. This is a curated selection—not a count of total submissions.
Platforms used to access assigned testing or coordinated-disclosure programs under published rules.
Assigned, authorized testing scope.
Coordinated-disclosure programs.
Coordinated-disclosure programs.
Recognition records describe authorized vulnerability-disclosure outcomes—not client work, employment, sponsorship, or endorsement. Organization and platform marks identify the receiving program or authorized research channel only.
All eleven professional credentials are shown together, with the most role-relevant certifications presented first.
Hack Smarter · Kairos Sec · 2026
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eWPTX · INE Security
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CSCRB · Red Team Leaders
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Google · Coursera
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CCEP · Red Team Leaders
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Practical security writing that shows how I investigate, validate, connect, and communicate application-security findings.
Shows how an AI-assisted web assessment moved from initial signals to validated security findings through controlled testing, tool orchestration, and repeatable documentation.
Explains how open-source intelligence, broken access control, and remote code execution combined into one exploit chain—and how to reason about the complete risk.
Breaks down an unusual application behavior that exposed personally identifiable information, how the issue was reproduced, and why ordinary user flows still require careful validation.
For offensive-security roles, authorized assessments, and selected technical collaborations.
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