AI Agents & Automation for Engineering-Driven Teams

I design and build custom AI agents, automation flows, and backend integrations that remove manual work and make teams faster, not noisier.

As a freelance AI developer and automation engineer, I help companies turn messy workflows into reliable, production-ready systems. From AI agents that triage information or talk to your users, to fully automated backoffice flows – I don’t just ship prompts, I ship working software.

What I build

I focus on AI systems that actually do work for you, instead of just generating text. Typical projects include:

• Custom AI agents – assistants that handle support, triage messages, summarize long threads, or act as research copilots for your team.
• Workflow automation – end-to-end flows that connect your CRM, ticketing system, databases and internal tools, with LLMs where they actually add value.
• Backoffice & reporting bots – agents that collect data from multiple systems, clean it, and generate structured reports or dashboards.
• Document & knowledge copilots – systems that search, summarize and answer questions based on your internal docs, Notion, Confluence, GitHub issues and more.
• Domain-specific tools – for example finance and accounting agents, developer tooling, DeFi analytics bots or internal R&D assistants.

When AI agents are a good fit

AI agents and automation make the most sense when:

• Your team repeats the same information-heavy tasks.
• Information is spread across multiple tools (email, Slack, CRM, dashboards, databases).
• You want to reduce manual copy-pasting and context switching.
• Reliability and quality matter more than flashy demos.

If you're not sure whether AI is the right tool, I'll tell you honestly – including when it's better not to use it.

How I work

1. Discovery & scoping – we map your workflow, tools and success criteria and pick a small but high-impact first use case.
2. Architecture & design – we decide which parts are rule-based, which use LLMs, and how data moves between systems and is monitored.
3. Implementation – I build the backend services, agents and integrations with clean, testable code (usually Node.js/TypeScript or Python).
4. Evaluation & guardrails – we add validation, fallbacks and logging so you can trust the system in production.
5. Handover & iteration – documentation, configuration options and a roadmap for next iterations or additional agents.

Tech stack

I typically work with OpenAI and other LLM providers, Node.js and TypeScript or Python for backend services, queues and workers for automation, and integrations with your existing tools such as CRMs, ticketing systems, internal APIs and (if relevant) Web3 data sources.

Want to explore an AI automation project?

If you're considering an AI agent, workflow automation, or an internal AI tool, we can start with a short call to map the opportunity and constraints. No hype – just a realistic view on what's worth building.