Dallas-Fort Worth Metroplex
I am a dedicated AI Security and DevSecOps Specialist committed to building secure, scalable, and resilient systems in the age of rapid AI transformation. Leveraging 10+ years of experience and a strong foundation from my M.Sc. in Computer Science, I specialize in bridging traditional cloud defense with cutting-edge LLM and Generative AI security. My expertise is centered on the security lifecycle of modern applications and AI workloads across multi-cloud environments (AWS, Azure, GCP): * 🛡️ AI/LLM Security: Focused on mitigating novel risks like Prompt Injection, data exfiltration via models, securing RAG (Retrieval-Augmented Generation) architectures, and hardening LLM APIs and infrastructure. * ⚙️ Cloud & Container Security: Designing and implementing robust security controls for containerized applications (Kubernetes/EKS/AKS), APIs, and serverless functions, ensuring compliance through IaC (Terraform). * 🔁 DevSecOps & Automation: Integrating security into CI/CD pipelines (GitOps), using Python to automate security checks and testing, and driving "shift-left" practices across engineering teams. Whether I am leading an AI security review, architecting the security of a microservices mesh, or writing policy-as-code to enforce cloud governance, my approach is always hands-on and collaborative. I believe security must move at the speed of engineering—it must be baked in, not bolted on. I am always keen to discuss the next generation of security challenges in AI-driven enterprises. Let's connect to explore how we can harden your most critical systems.