Software Engineer · AI & Automation Consultant

AI consulting & automation

I help turn repetitive work, messy processes and half-formed AI ideas into practical systems that people can actually use.

AI integrations · workflow automation · internal tools · prototypes · agent workflows · API integrations

How I can help

From a workflow problem to a working solution

  1. Find where AI actually helps

    Look at an existing workflow or problem and identify where AI, automation or a small internal tool can remove meaningful manual work—and where AI would only add unnecessary complexity.

  2. Design the workflow

    Define how models, prompts, data, APIs, external tools, approvals, human steps and automation should fit together.

  3. Prototype it quickly

    Build a focused prototype that can be tested with real users and real data before committing to a larger implementation.

  4. Build the real thing

    Implement the solution end to end: frontend, backend, AI integration, APIs, database, authentication, deployment and production workflows.

Engineering judgment

Not every problem needs AI. Sometimes the best AI decision is not to use it.

I’m a full-stack and backend software engineer who builds complete products and increasingly works across AI integrations, workflow automation and AI-assisted development. I approach AI work as engineering: understand the problem, choose the right architecture, build the system and make it reliable in production.

Have an AI idea or a process that shouldn’t still be manual?

Tell me what currently takes too much time, involves too much copying between systems, or feels like it should be smarter. I can help figure out whether AI or automation makes sense — and build it if it does.