Cybersecurity graduate student with hands-on experience in Ethical Hacking, Penetration Testing,
Vulnerability Assessment, Network Security, and AI-powered Intrusion Detection Systems. Proficient in
Python, Kali Linux, Git, Active Directory, Cloud Security, and risk assessment.
Battle-tested defensive and offensive methodologies designed to harden enterprise perimeters, audit cloud
workloads, and engineer machine-learning threat telemetry.
OP-01 // OFFENSIVE
Penetration Testing & Ethical Hacking
Conducting comprehensive network penetration testing and application security testing aligned with the
OWASP Top 10 using Kali Linux, Metasploit, Burp Suite, and Nmap to uncover exploitable weaknesses before
adversaries do.
Kali LinuxMetasploitBurp SuiteNmapOWASP Top 10
OP-02 // AUDIT
Vulnerability Assessment & Risk Management
Executing systematic vulnerability scans with Nessus, analyzing threat exposure, and performing enterprise
cybersecurity risk assessments and cryptography-backed remediation planning.
NessusRisk MatrixCryptographyCVSS Scoring
OP-03 // AI DEFENSE
AI-Powered IDS & Network Defense
Designing machine-learning threat classification pipelines and inspecting deep packet traffic via
Wireshark to detect anomalous network behavior and zero-day intrusion signatures in real time.
Scikit-learnPythonWiresharkPCAP Telemetry
OP-04 // CLOUD SOC
Cloud SOC & Automated Incident Response
Architecting serverless cloud security pipelines on AWS using GuardDuty, CloudTrail, VPC Flow Logs,
EventBridge, Lambda, and Terraform to automate threat normalization and instance containment.
AWS GuardDutyAWS LambdaTerraform (IaC)EventBridge
OP-05 // BLUE TEAM
SIEM Monitoring, Threat Hunting & APT Analysis
Proactive cyber threat hunting, Advanced Persistent Threat (APT) breach analysis, and security event
correlation using enterprise SIEM platforms such as Splunk and Microsoft Sentinel.
Assessing IAM strategies, designing custom IAM solutions, and engineering targeted phishing simulations to
harden organizational security awareness and incident response readiness.
Active DirectoryIAM StrategyPhishing SimulationSocial Engineering
03 // Flagship Architectures
Featured Security Projects
Production-grade offensive and defensive implementations complete with interactive pipeline visualizers and
open-source GitHub repositories.
NetSentinel AI — AI-Based Network Intrusion Detection System
Developed an AI-powered Intrusion Detection System (IDS) using Python, Flask, and Scikit-learn to detect
and classify network threats in real time. Applied machine learning model evaluation techniques to improve
detection accuracy for complex network intrusion classifications including PortScans, DoS flood attacks,
and anomalous protocol behaviors.
INTERACTIVE ARCHITECTURE FLOW // NetSentinel Engine
System Idle // Ready for Packet Injection
Built a serverless, Free-Tier-conscious AWS SOC platform covering the full security lifecycle: threat
detection, event normalization, incident creation, and automated response. Ingested threat findings from
GuardDuty, CloudTrail, and VPC Flow Logs, routing them through EventBridge to a Lambda function that
normalizes each finding and stores it as a JSON incident record in S3. Automated containment with a second
Lambda that isolates compromised EC2 instances by applying a restrictive isolation Security Group,
deploying the entire stack as Infrastructure as Code using Terraform.
Categorized offensive, defensive, infrastructure, and automation toolchains verified through live labs,
academic rigor, and enterprise simulations.
Ethical Hacking
SecOps
Penetration Testing
SecOps
Network Penetration Testing
SecOps
Vulnerability Assessment
SecOps
Risk Management
SecOps
Cryptography Fundamentals
SecOps
Cyber Threat Hunting
SecOps
Kali Linux
Tools
Cloud Security
Platforms
GitHub
Platforms
Nmap
Tools
Burp Suite
Tools
Wireshark
Tools
Metasploit
Tools
Nessus
Tools
OWASP Top 10
Standards
SIEM (Splunk / Microsoft Sentinel)
Platforms
Network Security
Domains
Intrusion Detection Systems (IDS)
Domains
Information Security Management
Domains
APT Breach Analysis
Domains
Python
Code
Flask
Framework
Scikit-learn
AI / ML
Terraform (IaC)
DevSecOps
Git
VCS
Active Directory
Identity
05 // Practical Experience
Industry Job Simulations
Enterprise case studies and virtual security engagements completed via Forage, solving real-world
cybersecurity problems for global organizations.
Datacom
Forage Verified
Cybersecurity Job Simulation
Executed Advanced Persistent Threat (APT) breach analysis, cybersecurity risk assessment, and information
security management to safeguard enterprise client infrastructure.
APT Breach AnalysisRisk AssessmentInfoSec Mgmt
Deloitte
Forage Verified
Cyber Job Simulation
Performed comprehensive cybersecurity risk assessment, threat analysis, and security best practices
evaluation across multi-tier enterprise systems.
Threat AnalysisRisk ManagementSecurity Best Practices
Mastercard
Forage Verified
Cybersecurity Job Simulation
Designed phishing email simulations and analyzed phishing campaign telemetry to strengthen organizational
cybersecurity awareness, threat detection, and incident response readiness.
Focused on Identity and Access Management (IAM), IAM strategy assessment, custom IAM solution design,
role-based access control (RBAC), and enterprise platform integration.
IAM ArchitectureRBAC PolicyEnterprise Integration
AWS
Forage Verified
Solutions Architecture Job Simulation
Designed scalable cloud hosting architecture while applying core cloud architecture principles,
infrastructure resilience planning, and cloud solution design best practices.
Cloud ArchitectureInfrastructure PlanningAWS Best Practices
Accenture
Forage Verified
Strategy Consulting Job Simulation
Conducted market research, profitability analysis, and strategic risk-informed decision-making to optimize
client operations and digital transformation strategies.
Executed network security triage, analyzed malicious telemetry patterns, audited firewall filtering rules,
and formulated incident response strategies for telecom infrastructure.
Incident TriageMalware AnalysisFirewall Audit
Deloitte
Forage Verified
Data Analytics Job Simulation
Conducted statistical data exploration, forensic telemetry pattern extraction, anomaly classification, and
strategic data visualization for client decision makers.
Data ForensicsTelemetry AnalyticsPattern Detection
Deloitte
Forage Verified
Technology Job Simulation
Designed enterprise cloud architecture blueprints, conducted system resilience testing, and planned
technology modernization transformations for mission-critical services.
Cybersecurity graduate student with hands-on experience in Ethical Hacking, Penetration Testing,
Vulnerability Assessment, Network Security, and AI-powered Intrusion Detection Systems. Proficient in
Python, Kali Linux, Git, Active Directory, Cloud Security, and risk assessment. Seeking roles as a
Cybersecurity Analyst or Penetration Tester.