Advanced Threat Detection: SIEM, EDR, and ML-Based Anomaly Detection
Implement comprehensive threat detection using SIEM platforms, Endpoint Detection and Response (EDR), and machine learning for zero-day detection.
Implement comprehensive threat detection using SIEM platforms, Endpoint Detection and Response (EDR), and machine learning for zero-day detection.
Master AWS data transfer costs and reduce bills by 90% with VPC endpoints, CloudFront, and architectural optimization strategies
Deploy machine learning models at scale using TensorFlow Serving, TorchServe, and KServe with production-grade reliability
Build Linux kernel modules in Rust for systems programming, drivers, and kernel extensions
Master API gateway architecture patterns for request routing, transformation, authentication, and rate limiting in microservices.
Implement FinOps automation with CloudHealth, Cloudability, and Kubecost to continuously optimize cloud costs, track ROI, and automate spending controls
Design fault-tolerant, multi-region architectures with 99.99% uptime, automated failover, and zero-loss disaster recovery.
Optimize ML inference for real-time applications with sub-100ms latency at scale
Navigate major compliance frameworks: PCI-DSS for payments, HIPAA for healthcare, SOC 2 for services, and ISO 27001 for security management.
Build WebAssembly applications using Rust for both browser and server environments with maximum performance