Cloud-Native Architecture & Infrastructure#
- Multi-Cloud Platforms: IBM Cloud, AWS, Microsoft Azure
- Container Orchestration: Kubernetes, Helm, Docker
- Platform Engineering & DevOps: GitOps, Jenkins, Azure DevOps
- Observability & Reliability: ELK Stack, Prometheus, Grafana
- Resilience Patterns: High availability, fault isolation, self-healing architectures
Artificial Intelligence & Machine Learning#
- Machine Learning & Computer Vision: Deep learning architectures, perception systems, real-time inference
- AI Frameworks: LangChain, IBM watsonx
- Retrieval-Augmented Generation (RAG): Intelligent remediation and contextual AI systems
- Vector Databases: ChromaDB
- MLOps: Model deployment, monitoring, optimization, lifecycle management
Distributed Systems Engineering#
- Event Streaming: Apache Kafka, Schema Registry
- Event-Driven Microservices: High-throughput, multi-tenant architectures
- Programming Languages: Go, Python, Bash
- Data Systems: NoSQL databases, vector stores
- Scalability & Consistency: Concurrency design, schema evolution, fault tolerance
Blockchain & Decentralized Systems#
- Platforms: Ethereum (Parity)
- Smart Contracts: Solidity
- Enterprise Integration: Web3.js
- Use Cases: Supply chain traceability, decentralized coordination workflows