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Charles C.

Charles C.

AI Code Review & Red Teaming Expert | Web3 Security Researcher

Nigeria flagPort-Harcourt, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

1. Cybersecurity & Offensive Security
Your deepest
most verifiable expertise. Years of hands-on penetration testing

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Red TeamingRed Teaming
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text GenerationText Generation
Fine-tuningFine-tuning
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Web3 security researcher and full-stack developer with extensive experience in adversarial thinking, secure code review, and vulnerability assessment across web applications and decentralized protocols. AI Training / Data Labeling Experience Summary: I have substantial experience in AI training and data labeling, with a strong background in code generation review, adversarial prompt testing, and chain-of-thought logic verification. My work in penetration testing and secure code auditing has consistently required me to evaluate complex technical outputs for logical flaws, insecure patterns, and incorrect reasoning — the core skillset of advanced AI training roles. I have conducted red teaming assessments, constructed multi-step adversarial test cases, and produced structured evaluation reports across numerous client engagements. My experience extends to annotating and ranking AI-generated outputs, identifying hallucinated assumptions in model reasoning traces, and flagging unsafe or logically inconsistent responses with detailed written justification. I bring a high degree of autonomy, technical precision, and adversarial depth to every evaluation task — consistently delivering accurate, well-reasoned assessments that meet the standards required for expert-level AI training tracks on platforms including code review, red teaming, and RLHF feedback pipelines.

Labeling Experience

Yes, I have relevant AI training and data labeling experience

Yes, I have relevant AI training and data labeling experience. I have worked on code generation review tasks, evaluating AI-written code for security vulnerabilities, logical errors, and correctness. I have conducted adversarial prompt testing, including constructing jailbreak scenarios and identifying instruction-following failures in large language models. I have also performed chain-of-thought verification — reviewing model reasoning traces for logical inconsistencies, hallucinated assumptions, and flawed multi-step inference. Additionally, I have experience ranking and comparing AI-generated outputs, providing structured written feedback for model improvement, and classifying responses based on accuracy, safety, and relevance. My background in penetration testing and secure code auditing directly informs the precision and adversarial depth I bring to every AI evaluation task.

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Education

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School / Institution: Self-Directed Offensive AI Security Research & Full-Stack Development Degree / Program: Independe

School / Institution: Self-Directed Offensive AI Security Research & Full-Stack Development Degree / Program: Independent Security Research & Continuous Technical Training I began my technical career through self-directed offensive AI security research, focusing on web application penetration testing, adversarial system analysis, and vulnerability assessment. My foundational training was hands-on and research-driven — studying attack methodologies, exploit construction, and secure code review through applied practice rather than traditional academia. I expanded into full-stack development covering JavaScript, TypeScript, Next.js, Node.js, and Web3 architecture, building production-grade applications while maintaining a security-first engineering mindset throughout. My continuous learning spans PortSwigger Web Security Academy, OWASP testing methodologies, smart contract auditing, and large language model red teaming research — giving me a deeply practical and adversarially sharp technical foundation that formal degree programs rarely produce.

School / Institution: Self-Directed Offensive AI Security Research & Full-Stack Development Degree / Program: Independent Security Research & Continuous Technical Training I began my technical career through self-directed offensive AI security research, focusing on web application penetration testing, adversarial system analysis, and vulnerability assessment. My foundational training was hands-on and research-driven — studying attack methodologies, exploit construction, and secure code review through applied practice rather than traditional academia. I expanded into full-stack development covering JavaScript, TypeScript, Next.js, Node.js, and Web3 architecture, building production-grade applications while maintaining a security-first engineering mindset throughout. My continuous learning spans PortSwigger Web Security Academy, OWASP testing methodologies, smart contract auditing, and large language model red teaming research — giving me a deeply practical and adversarially sharp technical foundation that formal degree programs rarely produce.
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Work History

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Company not specified

Independent Security Researcher, Web3 Penetration Tester & AI Training Contributor Self-Employed / Freelance On the A

Location not specified
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