I design and build AI systems that go beyond automationβsystems that analyze, reason, and adapt. With 18+ years of experience in software engineering, cloud infrastructure, and AI, I focus on developing intelligent architectures that integrate large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems for enterprise applications.
Right now, Iβm working on:
- AI system architecture β Designing modular, scalable AI infrastructures
- Multi-agent systems β Building autonomous agents that collaborate for data analysis and security
- Retrieval-augmented generation (RAG) β Improving how AI retrieves and processes information
- Event-driven architectures β Creating scalable pipelines for AI-powered data workflows
- Autonomous Agents β Multi-agent architectures, cognitive AI models
- RAG & LLMs β Hybrid retrieval, semantic search, knowledge augmentation
- MLOps β Model deployment, monitoring, and optimization
- Cloud Platforms β AWS, Azure, cloud-native architectures
- Data & Event Processing β Kafka, RabbitMQ, real-time data pipelines
- DevOps & Automation β Terraform, CI/CD, infrastructure-as-code
- Frontend β React, Vue.js, component-driven architectures
- Backend β Node.js, FastAPI, high-performance APIs
- Data & APIs β REST, GraphQL, gRPC, structured data flow
Iβve designed AI-driven platforms for security, automation, and enterprise intelligence, including:
- Enterprise AI Agents β Multi-agent systems for automated data analysis and cybersecurity
- Intelligent Knowledge Retrieval β RAG-powered systems that improve AI-driven search and decision-making
- Cognitive AI Frameworks β Architectures that enable AI agents to work together efficiently
- Real-Time Data Processing β Scalable AI pipelines for analyzing large datasets on the fly
I enjoy discussing AI system design, scalable architectures, and how to make AI work in real-world enterprise environments.
LinkedIn | Email: [email protected]
AI should be more than just automationβit should think, adapt, and solve real problems.