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M

Mehrnoosh Abrishamkar

Na0S — AI Prompt Injection Detector (Creator/Lead)

USA flagSan Francisco, Usa
$35.00/hrEntry LevelData Annotation TechScale AIInternal Proprietary Tooling

Key Skills

Software

Data Annotation TechData Annotation Tech
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

AI/LLM Security
Prompt Injection Detection
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

Cybersecurity and AI security researcher with hands-on experience in AI model evaluation, adversarial prompt testing, and data quality assessment. Creator of Na0S, an open-source prompt injection detection framework where I built and curated ~7,200 test cases across 28 attack categories and 117 techniques — essentially a large-scale dataset of adversarial prompts used to evaluate and improve AI model safety. Experienced in prompt engineering, red-teaming AI systems, and evaluating model outputs for accuracy, safety, and alignment. Strong Python skills and deep understanding of how LLMs process and respond to inputs. Fluent in English and Farsi.

Entry LevelEnglishPersian Farsi

Labeling Experience

Na0S — AI Prompt Injection Detector (Creator/Lead)

Computer Code ProgrammingRed Teaming
Na0S — AI Prompt Injection Detector (Creator/Lead). Cybersecurity professional with hands-on experience in security engineering, AI security research, and prompt injection detection. Built Na0S, an open-source AI prompt injection detection framework with 21 detection layers, 28 attack categories, 117 techniques, and ~7,200 tests. Core strengths include AI/ML security evaluation, Python development, vulnerability assessment, and threat analysis. Education includes Bachelor of Science in Cybersecurity, SANS Technology Institute (in progress, expected 2027) and Associate of Science in Computer Science, De Anza College. Holds four GIAC certifications (GCIH, GSEC, GISF, GFACT). AI-training focus includes data types such as Text and Code, with expertise in prompt engineering, adversarial testing, and AI safety evaluation.

Na0S — AI Prompt Injection Detector (Creator/Lead). Cybersecurity professional with hands-on experience in security engineering, AI security research, and prompt injection detection. Built Na0S, an open-source AI prompt injection detection framework with 21 detection layers, 28 attack categories, 117 techniques, and ~7,200 tests. Core strengths include AI/ML security evaluation, Python development, vulnerability assessment, and threat analysis. Education includes Bachelor of Science in Cybersecurity, SANS Technology Institute (in progress, expected 2027) and Associate of Science in Computer Science, De Anza College. Holds four GIAC certifications (GCIH, GSEC, GISF, GFACT). AI-training focus includes data types such as Text and Code, with expertise in prompt engineering, adversarial testing, and AI safety evaluation.

2025 - Present

Education

D

De-Anza College

Associate of Science, Computer Science

Associate of Science
2020 - 2022
S

SANS Technology Institute

Bachelor of Science, Cybersecurity

Bachelor of Science
2023

Work History

B

BSidesSF

Volunteer & CTF Competitor

San Francisco
2026 - 2026
N

Nightingale Security

Security Engineer Intern

Newark
2025 - 2025