Junior AI Automation Engineer (Claude Code experience needed), ongoing work (EU preferred)
ActiveJob in progress, no feedback given yet.
Glasgow, Scotland, United Kingdom, 10:42 am local time
Why: "AI Automation Engineer" is the biggest demand pool at the higher hourly median, and the 70 chars are fully used.
Why: strength bullets on top, a call to action early and again at the end, testimonials moved out of the 200-char preview.
Job in progress, no feedback given yet.
Job in progress, no feedback given yet.
★★★★★ 5.00
"Stefan helped to build out a completely Agentic onboarding solution for us, using Make.com and integrating with our various other 3rd party solutions. Such a great hire! Highly recommend!! Would definitely hire him again (intend to, actually>>>>)"
★★★★★ 5.00
"Second time hiring Stefan, second time being really, really impressed. Diligent, competent, fast, conscientious. Goes above and beyond."
★★★★★ 5.00
"Stefan was absolutely amazing to work with!! Super prompt, clear communication and quick delivery - 10/10 would recommend!"
Why: the live profile shows no portfolio at all, and portfolio items are what carry the keyword-led proof into search.
Challenge: Dental practices, hotels and home-service firms miss calls and lose bookings after hours.
Solution: Low-latency AI voice agent on OpenAI Realtime and LiveKit with interruption handling, appointment booking, CRM lookups, cited knowledge retrieval and a human handoff rule. n8n handles the calendar, CRM and email side. Configurable business logic keeps critical actions controlled.
Outcome: A reusable AI voice agent platform that deploys to a new business in days, with monitoring and call logs. Extendable to more specialised AI voice agent use cases.
Challenge: 13 operational sites ran overtime, shift-swap, payroll and approval flows by hand, with errors and delays.
Solution: AI workflow automation that reads requests, checks rules, routes approvals, updates payroll records and escalates exceptions to a human.
Outcome: £304,000 a year in saved staff time and error handling across 13 sites, with an audit trail on every decision.
Challenge: Every new customer needed manual form checks, account setup, CRM entries and welcome messages.
Solution: An agentic workflow in Make.com integrating the CRM, email and three third-party tools. The agent reads each submission, decides the next step, fills the records and flags edge cases for review.
Outcome: Hundreds of onboardings handled with no manual steps, 30+ staff hours saved every week, 5-star review and a rehire.
Challenge: Staff spent hours searching internal documents and gave inconsistent answers.
Solution: Custom RAG pipeline over the document set, answers with citations, confidence thresholds and escalation to a human reviewer. Monitoring dashboard for unanswered questions.
Outcome: Fast, cited answers staff can trust, plus a list of knowledge gaps to fix.
Challenge: An organisation needed AI automation but could not send data to third-party APIs.
Solution: Fully managed self-hosted deployment of a Hermes-based assistant with local models, n8n workflows and access controls.
Outcome: AI agent capability with complete data control, documented and monitored.
Note: publish items 4 and 5 only if they are real builds. If they are demos, prefix the title with "Demo:" and say so in the text.
Why: 20 slots filled in search-volume order, with the tool tags (n8n, Make, Python, Claude) that his won work can validate.
Why: catalog projects and the three consultation slots are free search surface the live profile is not using.
A working voice receptionist on your number: booking, CRM lookups, human handoff, call logs and monitoring.
One real process automated end to end, with test cases for every branch and plain-English documentation.
A 45-minute review of one workflow and a written plan on what to automate first and what it should cost.
Consultation topics: AI voice agent scoping, AI workflow automation audit, n8n and Make agentic workflow review.
Why: no certifications show today, and real free certificates from Anthropic, n8n and Make beat self-issued keyword badges.
Why: the live entries carry no keywords and no descriptions, so they add nothing to search or to trust.
Was: "AI Specialist, BrightMaind", no description
Built AI voice agents, agentic workflows and AI workflow automation for client businesses. Stack: n8n, Make.com, Python, OpenAI Realtime, LiveKit, Claude Code. Delivered the £304K a year approvals automation and the AI voice agent receptionist platform.
New entry
AI automation and agentic workflow builds for US and UK clients on Make.com and n8n, every contract closed at 5 stars.
Kept, one line added
Hands-on experience with multi-site shift, overtime and approval processes, which I now automate with AI workflow automation.
Why: ordered worst first and best last, so the strongest build is the last thing a client reads.
Overtime, shift-swap, payroll and approval workflows automated with an audit trail on every decision, £304,000 a year saved.
Make.com agent across the CRM, email and three third-party tools. Hundreds of onboardings, 30+ staff hours saved a week.
Low-latency voice platform with interruption handling, booking, CRM integration, knowledge retrieval, handoff and monitoring, ready to deploy to a new business in days.
Why: one description line turns a bare school name into a keyword-bearing line.
Computer engineering
Computer engineering with a focus on automation and AI systems.
Secondary education
Anthropic Academy (Claude Code in Action, AI Fluency, Model Context Protocol), n8n Academy Level 1 and Level 2, Make Academy.
Why: the three 5-star reviews already exist, republishing them as testimonials gives them keyword-bearing project titles.
"Stefan helped to build out a completely agentic onboarding solution for us, using Make.com and integrating with our various other third-party solutions. Such a great hire! Would definitely hire him again."
Agentic onboarding automation, Make.com. US matchmaking company, rehired.
"Second time hiring Stefan, second time being really, really impressed. Diligent, competent, fast, conscientious."
Agentic workflow build, Make.com. Repeat client.
"Super prompt, clear communication and quick delivery. 10/10 would recommend!"
AI automation build.
Also: reply publicly to every review, almost nobody does.
| # | Change | Where |
|---|---|---|
| 1 | Title to the 70-char version, "AI Automation Engineer" first | Title |
| 2 | Rewrite the first 200 chars of the overview: what, for whom, the numbers | Overview |
| 3 | Strength bullets on top, two calls to action, full name at the bottom | Overview |
| 4 | 20 green skills in search-volume order, 11 weak tags removed | Skills |
| 5 | 5 portfolio items, voice agent and agentic workflow first | Portfolio |
| 6 | Testimonials from the 3 reviews, plus public replies to reviews | Testimonials |
| 7 | 4 to 6 certifications from Anthropic, n8n and Make | Certifications |
| 8 | Employment titles and descriptions with keywords, 2 to 4 other experiences | Employment |
| 9 | Intro video, availability "open, as needed", city, photo with green ring | Profile settings |
| 10 | Hold $45/hr now, step to $55 to $65 after roughly 10 five-star closes | Rate |