Fullstack · AI automation developer
Youssef Wageeh
Fullstack and AI automation for startups and growing companies. Scoped engagements, production handoff, docs included.
For startups and growing companies: React and Next.js on the front, Java and Python on the server, Camunda, n8n, Make, and Zapier when the workflow should run without handoffs.
Selected outcomes from recent product, automation, and integration work.
New inquiry → scored lead, draft reply, Slack alert if urgent
Form lands. Intent and urgency get scored. Inbox gets a draft reply and the missing questions. Urgent leads ping Slack; the rest wait in queue.
Next.js · Tally · Groq · Airtable · Slack
Hours of manual exports → weekly report on schedule
Failed deliveries leave Twilio every week as a CSV in the inbox. The team sees what broke without living in the console.
Node.js · Twilio · Cron · Gmail
Client note
“Great dev to work with. Works fast, understands things clearly and gets things done with the requested timelines. Work with Youssef if you want to get any automations or back end work done.”
Engagements from product features to automation and integrations.
What you walk away with
| You need | You get |
|---|---|
| A shippable product feature | Fullstack work with React / Next.js and Java / Spring Boot or Python / FastAPI. Auth, data, APIs, and a deploy your users can try. |
| Ops that run without babysitting | Workflows in Camunda, n8n, Make, or Zapier, plus custom Python or Node when templates stop. Lead routing, CRM sync, reporting, and agents that create tickets, sync records, and move work forward. |
| Tools that share data | APIs, webhooks, and integrations so your systems stay in sync without copy-paste between tabs. |
| Internal tools your team will use | Admin panels, ops dashboards, and internal apps that cut hours of manual work each week. |
Peer-reviewed AI on automated farm monitoring: the same detect, track, and flag loop I bring to production systems.
Finds fish in farm video and tracks them across frames so counting does not need a person on the feed.
Cleans hard underwater imagery, then detects fish and pulls trajectories in turbid conditions.
Reads motion paths and flags abnormal behavior to cut manual pond checks.
How we go from your problem to something live.
Scope
Agree on the pain, the users, and what “done” means.
First cut
Smallest version that proves the path and has clear edges.
Build in the open
Working increments you can review and steer.
Hand off
Docs and ownership so it keeps running without me.
I ship fullstack product work and automate the processes that burn hours every week: APIs, web apps, workflows, and AI agents that do real jobs.
Every engagement includes runbooks and handoff docs so your team keeps ownership after I’m gone.
Tell me what you’re trying to fix. I’ll reply with next steps.