AI systems builder / full-stack operator

Build the software your workflow is trying to become.

I help teams turn messy operations, AI capability, and business context into usable products, automations, and production software.

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SHOpen to focused product builds

Shpetim Haxhiu

Senior full-stack and AI engineer working across product architecture, automation, SaaS, and deployment.

19+years shipping software

200+websites and web properties

60+apps, systems, and automations

Next.jsTypeScriptNode.jsPythonPostgreSQLOpenAI

Selected projects

Systems shaped around operators, constraints, and launch reality.

The projects are framed by workflow value: what enters, what changes, what gets verified, and what ships.

Tender intelligence

Propender AI

AI-assisted tender discovery, eligibility analysis, and proposal operations for teams that need faster bid decisions.

Next.jsAI SDKPrismaAutomation

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Learning systems

Brain Glow

Adaptive learning workflows that connect content, quizzes, progress, and feedback into one practical operating loop.

ReactOpenAIAnalyticsCourses

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Customer automation

BotWizard

Support and lead-capture systems built around reliable handoff, measurable outcomes, and lower manual load.

TypeScriptVector searchIntegrations

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Voice operations

VoxGenius

Realtime voice-agent workflows for qualification, service, and operational follow-up across customer paths.

Voice AIRealtimeNode.jsAPIs

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View all projects

Method

AI only works when the surrounding product system is reliable.

The work starts with the operating reality and ends with a product surface that can be used, checked, and improved.

Model the workflow first

Clarify users, handoffs, data, risk, and the exact decision the software needs to improve.

Design AI as a system

Prompts, tools, retrieval, structured output, fallbacks, and validation stay connected.

Ship the full path

Interface, API, database, automation, deployment, and operating docs move together.

Verify before polish

Builds, smoke checks, screenshots, and edge cases make the result easier to trust.

Services

Focused ways to turn product pressure into shipped software.

The offer is practical: define the workflow, build the system, verify the path, and document what changed.

AI workflow prototype

A focused build that turns one messy workflow into a testable AI-assisted product loop.

Workflow map

Prompt/tool design

Usable interface

Verification checklist

Full-stack product build

A complete web app path from interface and backend to deployment and handoff notes.

Next.js app

API and data model

Auth-ready structure

Vercel deployment

Automation operating system

Queues, dashboards, scripts, and integrations for repeatable work that currently lives in manual effort.

Queue design

Data enrichment

Operator dashboard

Documentation

Product rescue pass

A sharp review and repair pass for AI or SaaS work that is close but not reliable enough to launch.

Architecture review

Bug/risk audit

Targeted fixes

Launch plan

Delivery

A clear build path from ambiguous workflow to production surface.

Every engagement is structured around visible artifacts and checks, not vague progress.

Discovery map

Users, inputs, data ownership, current bottlenecks, and operational risks.

System blueprint

Routes, workflows, AI boundaries, schemas, and minimum useful product scope.

Build sprint

Interface, API, database, integrations, and the first reliable operating loop.

Verification pass

Build checks, edge cases, browser review, and operator-facing acceptance criteria.

Launch handoff

Deployment, documentation, monitoring hooks, and a backlog for the next iteration.

Field notes

OpenAI guides for AI products, automation, and production software.

Tutorials, checklists, and field notes grounded in official OpenAI documentation and practical product engineering.

Tutorial7 min

Build a production AI feature with the Responses API

A practical route for moving from a prompt demo to a feature with state, tools, validation, and operator review.

Responses API

Guide6 min

Migrate a chat-completions workflow to the Responses API

How to move an existing assistant-style workflow into a more flexible Responses API implementation without rewriting the product.

Migration

Tutorial8 min

Design structured outputs for proposal intake

A guide to turning messy tender or proposal documents into validated fields that operators can approve.

Structured outputs

Read all notes

Contact

Bring the workflow, deadline, and constraints.

Send the desired outcome, current bottleneck, users, and timeline. I will respond with a practical path for the build.

Email Shpetim LinkedIn GitHub