Benjamin Wheatland
Senior Software Engineer
Experience
Senior Software Engineer
Flow Ninja
- Evaluated LLM and AI agent vulnerabilities using Python and Bash scripts, identifying prompt injection risks and reducing exploitable scenarios by 35%.
- Developed containerized test environments and CI/CD security pipelines with Docker, accelerating reproducible evaluation cycles by 28% across multiple AI systems.
- Implemented automated test harnesses and offline reproducible scenarios, improving assessment coverage for model behavior under adversarial conditions.
- Led security research initiatives targeting LLM safety, designing attack simulations that enhanced model robustness against malicious input patterns.
- Collaborated with cross-functional teams to advise on secure deployment practices, integrating AI models into cloud environments without compromising safety.
- Analyzed network and application-level security, implementing mitigation strategies to harden LLM and AI agent infrastructure.
- Applied reverse engineering tools including Ghidra to assess AI-related software components, uncovering critical security gaps and potential exploits.
- Contributed to internal documentation of AI red-teaming best practices, improving knowledge transfer and onboarding efficiency.
- Monitored and optimized cloud and containerized deployments to ensure secure, reliable, and scalable AI operations across distributed environments.
Senior Software Engineer
BetterQA
- Constructed Python and Bash automation scripts for AI model testing and vulnerability scanning, increasing testing throughput by 30%.
- Designed reproducible test scenarios for AI agents, enabling offline evaluation of model safety and security compliance.
- Implemented Docker-based CI/CD pipelines for secure deployment of AI and ML workloads, reducing human error and ensuring auditability.
- Performed penetration testing across web, API, and infrastructure components, identifying critical vulnerabilities and enforcing mitigation strategies.
- Collaborated with cross-functional teams to integrate AI safety best practices into development workflows and deployment processes.
- Developed monitoring solutions for AI model deployments, detecting anomalous behavior and potential security threats.
- Advised product teams on secure coding practices and vulnerability mitigation, improving overall AI system resilience.
Software Engineer
Valor Software
- Implemented Python and Go backend services with security-focused workflows, enhancing reliability and maintainability for AI infrastructure.
- Conducted penetration tests and security evaluations on backend services, reducing exploitable vulnerabilities by 25%.
- Automated repetitive testing tasks with scripts and CI/CD integration, improving development efficiency and reducing manual errors.
- Analyzed cloud-based deployments and network configurations, improving secure connectivity and system reliability.
- Collaborated with DevOps teams to integrate security checks into deployment pipelines, enforcing compliance and best practices.
Software Engineer
Smartym Pro
- Engineered backend automation scripts for security and performance monitoring, increasing operational efficiency across multiple AI services.
- Performed vulnerability assessments and Linux system audits, reducing security risk and hardening server environments.
- Developed containerized environments for AI model deployment, improving reproducibility and team collaboration.
- Implemented CI/CD pipelines with integrated security checks, ensuring reliable and secure software releases.
Industry Experience
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Experienced in Information Technology.
Business Area Experience
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Experienced in Information Technology, Quality Assurance, Product Development, and Research and Development.
Summary
Evaluated AI/LLM models for vulnerabilities and safety risks, improving model reliability and reducing exploitation exposure by 35% across test scenarios. Developed automation scripts, test harnesses, and reproducible evaluation pipelines using Python and Bash, accelerating AI red-teaming cycles by 28%. Implemented containerized CI/CD security workflows with Docker, ensuring secure model deployments and reliable integration in distributed environments.
Skills
Programming & Frameworks: Python, Bash, Powershell, Javascript, Typescript, Go, Fastapi, Node.js, React
Security & Red-teaming: Ai/ml Model Evaluation, Llm Prompt Injection Mitigation, Owasp Top 10 Llm Vulnerabilities, Pentesting, Exploit Development
Containerization & Ci/cd: Docker, Kubernetes, Github Actions, Gitlab Ci/cd, Automated Security Pipelines, Test Harness Development
Reverse Engineering & Forensics: Ghidra, Ida Pro, Binary Analysis, Windows Internals, Linux Privilege Escalation, Malware Analysis
Networking & Infrastructure: Secure Networking, Vpns, Tls/ssl, Firewalls, Cloud Security (Aws/gcp), Vulnerability Scanning, Intrusion Detection
Ai/ml & Data: Llms, Ai Agents, Rag Pipelines, Pyrit, Garak Frameworks, Model Evaluation, Data Preprocessing, Reproducible Test Cases
Languages
Education
University of Warsaw
Bachelor’s degree · Computer Science and Technology · Warsaw, Poland
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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