Osman G.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Cybersecurity adversarial vulnerabilities

prompt injection

threat intelligence reporting

Top Data Types

Text

Top Task Types

Red Teaming

Freelancer Overview

Cybersecurity Intern (Securetia) — adversarial vulnerability research and threat reporting. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Arts, Rutgers University New Brunswick (2027). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Red Teaming.

Labeling Experience

Cybersecurity Intern - Securetia

TextRed Teaming

As a Cybersecurity Intern, you researched and documented exploitable adversarial vulnerabilities in production-facing web applications. You contributed to threat intelligence by analyzing prompt injection-style input handling patterns and publishing findings. You translated technical red-team and web-layer results into remediation guidance aligned with recognized security frameworks. • Discovered and documented CVE-2025-55182 in a production React framework • Conducted passive reconnaissance for SEO poisoning across technology fingerprinting tools • Authored structured threat reports for prioritized remediation roadmaps • Mapped attack surface and injection vectors for client engineering teams

2026 - 2026

IoT Cybersecurity Extern (Hydroficient) — adversarial detection pipeline and attack scenario evaluation

OtherRed Teaming

As an extern focused on IoT cybersecurity, the candidate designed and stress-tested adversarial detection mechanisms to reject multiple classes of attacks. They executed a set of adversarial attack scenarios and built a Python dashboard to flag, log, and visualize live attack events. This required constructing attack simulations and capturing resulting signals for real-time evaluation. • Designed a 4-layer adversarial detection pipeline across an MQTT-based IoT sensor network. • Invented and executed 12+ adversarial attack scenarios to identify defense failure modes. • Built a real-time multi-signal detection dashboard in Python for live event tracking. • Authored plain-language security assessments translating red-team findings into recommendations.

2026 - 2026

Cybersecurity Intern (Securetia) — adversarial vulnerability research and threat reporting

Don't discloseTextRed Teaming

During the internship, the candidate researched and documented adversarial prompt-injection-style vulnerabilities and produced structured threat reports for client teams. They contributed novel attack patterns to a public threat intelligence corpus and translated LLM-adjacent/web-layer findings into remediation roadmaps. The work involved generating and curating example inputs/attack patterns and mapping observed failure modes to security actions. • Analyzed prompt injection-style input handling and documented exploitable behaviors. • Added a novel adversarial attack pattern to a public threat intelligence corpus. • Performed reconnaissance and mapping of attack surface and injection vectors. • Wrote prioritized remediation roadmaps aligned with NIST SP 800-61 and ENISA.

2026 - 2026

Education

Work History