The toolkit I use to
ship real systems
Battle-tested in production — not just on paper.
Frontend
Backend & APIs
Databases
DevOps & Cloud
Monitoring & QA
AI & Agents
Automation & Integrations
Languages & CP
AI agents
wired into real
backend systems.
I build the AI layer that sits on top of solid backends — agents, LLM pipelines, custom MCP servers, and workflows that call real tools, take actions, and run reliably in production.
Chat, Voice & Call Agents
I build AI agents that plan steps, use tools, remember context, and fix errors on their own — chat, voice, and full call agents that talk to customers in real time.
- Lead bots that talk to customers 24/7
- Voice and call agents with OpenAI Realtime
- Tool-calling agents that take real actions
- Agents that read Slack and write reports
OpenAI & Claude in Production
I integrate OpenAI and Claude into real backends — RAG over your data, function calling, and reliable prompt pipelines that run at scale, not just demos.
- RAG over private data and docs
- Function calling and structured outputs
- Streaming responses and token control
- Guardrails and fallback handling
Custom MCP Servers & Agentic Ops
I build agentic systems with Claude Code — custom MCP servers, Slack and GitHub integrations, and AI workflows that ship real code and run real operations.
- Custom MCP servers for client tools
- Claude Code agents for code review and ops
- AI-driven CI/CD and deploy helpers
- Internal tools that read context and act
n8n & Make Workflows
I build custom n8n and Make.com flows that connect AI agents to your business apps — easy for non-tech people to use and edit later.
- Custom n8n nodes for any API
- AI nodes for OpenAI and Claude
- Self-hosted n8n on Docker
- Make.com scenarios with branching logic
Stack & Tooling
The backend, DevOps, and AI tools I run in production