I specialize in engineering scalable, highly optimized, and resilient enterprise cloud solutions. My expertise includes cloud-native architectures, microservices, DevOps automation, observability, and AI/ML integration.
- Distributed Systems: Designing fault-tolerant, event-driven microservices.
- Cloud Infrastructure: Implementing scalable solutions with GitOps, Infrastructure as Code (IaC), Kubernetes, and AWS.
- Observability: Ensuring end-to-end system monitoring using OpenTelemetry and distributed tracing.
- AI/ML Integration: Embedding advanced models for real-time analytics, predictive modeling, and anomaly detection.
- Advanced AI/ML Deployment: Leveraging TensorFlow, PyTorch, and Pandas to drive real-time data processing and production-grade workflows.
Open to strategic partnerships in:
- Optimizing cloud-native and Kubernetes/AWS/Linux infrastructures.
- Integrating AI-driven microservices and enhancing DevOps practices.