Agentic AI Ops for
Technical Teams
I design and supervise AI-agent workflows that turn requirements into working systems using natural-language interfaces.
What I Do
I bridge the gap between high-level intent and working code using advanced AI systems.
Agentic Workflow Design
Translate technical requirements into structured agent instructions, workflows, and validation steps.
AI-Assisted System Delivery
Use Claude Code and similar tools to generate backend services, pipelines, simulators, and documentation.
RAG and Knowledge Engineering
Design knowledge bases and retrieval structures that support operational and security workflows.
Detection and Security Pipelines
Define anomaly rules, event flows, and validation logic for distributed systems.
How I Work
I operate AI agents rather than coding by hand, focusing on architectural intent.
My work includes:
Defining system architecture and logic
Designing agent workflows and prompts
Supervising agent iterations
Validating outputs against latency, security, and consistency requirements
Coordinating delivery with stakeholders
"You describe the goal. I translate it into agent-executable work and verify the result."
Example Work
Real-Time IoT Authentication Detection
- Directed agents to produce a full anomaly-detection pipeline using event-driven services
- Designed severity models, workflow rules, and multi-tenant constraints
- Structured a large RAG corpus (144k+ chunks) for documentation and protocol insights
- Coordinated STM32 protocol-analysis work and integrated the results into the detection flow
* Details kept general for confidentiality.
Services
System Architecture via AI Agents
Workflows, specifications, validation rules.
Agent-Orchestrated Build Support
Backends, simulators, dashboards, documentation.
RAG Knowledge Systems
Corpus design, retrieval logic, evaluation patterns.
Security and Detection Workflows
Token handling, anomaly definitions, event-flow design.
Technical Consultation
Reviews, audits, and integration planning.