π€ AI/ML Security Expert | π Security Architect | π― MLOps Specialist
I'm a specialized AI/ML Security Engineer focused on building secure, scalable machine learning systems. With expertise in model security, privacy-preserving ML, and secure MLOps, I bridge the gap between cutting-edge AI and robust security implementations.
class AISecurityEngineer:
def __init__(self):
self.focus_areas = [
"Model Security & Privacy",
"Secure MLOps Architecture",
"Privacy-Preserving ML"
]
self.daily_tools = [
"π§ PyTorch/TensorFlow",
"π‘οΈ Security Frameworks",
"π MLOps Platforms"
]
self.mission = "Building secure and ethical AI systems"
π€ AI/ML Security
-
Model Security
- Adversarial Defense
- Model Privacy
- Secure Training
-
Privacy-Preserving ML
- Federated Learning
- Differential Privacy
- Secure Aggregation
-
MLOps Security
- Secure Model Deployment
- Pipeline Protection
- Runtime Security
π Security Architecture
-
Infrastructure
- Zero-Trust Architecture
- Secure Containerization
- Kubernetes Security
-
Compliance
- SOC 2
- HIPAA
- GDPR
-
Monitoring
- Security Analytics
- Threat Detection
- Incident Response
Production-ready sentiment analysis service with comprehensive security features. Implements zero-trust architecture and continuous security monitoring.
Research implementation of vision transformer with advanced security features including adversarial defense and privacy-preserving training.
HIPAA-compliant early warning system using federated learning and privacy-preserving techniques.
const currentProjects = {
research: "Advanced AI Model Security",
building: "Privacy-Preserving ML Systems",
exploring: "Federated Learning Solutions",
sharing: "AI Security Best Practices"
};
π₯ Core Technologies
- AI/ML: PyTorch, TensorFlow, Scikit-learn
- Security: Model Protection, Adversarial Defense
- MLOps: Docker, Kubernetes, MLflow
- Cloud: AWS, GCP, Azure
- Monitoring: Prometheus, Grafana
π― Specialized Focus
- Model Security
- Privacy-Preserving ML
- Secure MLOps
- Security Architecture
- Compliance Implementation
Specializing in secure and ethical AI systems