Available for select projects

I Build
AI Systems
That Actually
Ship.

AI Engineer delivering Intelligent Automation, LLM Integration, and full-stack AI infrastructure — built to enterprise-grade reliability standards. Four years. Four live production systems. Real results.

WhatsApp
Islamabad, Pakistan · UTC+5·Currently at Peersol → Veremark (UK)

0+

Years of AI Engineering

0

Live Production Systems

0min

Saved Per Client Onboarding

0/100

Efficiency Score

Trusted by

VeremarkPeersoln8nMake.comLangChainAxiom.ai
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About

The Engineer Behind the Automation

“I'm Nabeel Imran — an AI Engineer based in Islamabad, Pakistan, building the kind of intelligent systems that operations teams depend on every single day.”

At Peersol, I work directly with Veremark— a UK-based global enterprise background screening company — as their staff-augmented AI Engineer. I've shipped 4 live RPA bots that their operations teams use daily, a rule-based decisioning engine for UK Directorship verification, and an automated package creation system that cut client onboarding from 45 minutes to under 2 minutes.

Before Veremark, I built RankGuide from scratch — a live AI SaaS product — plus content automation pipelines, GenAI video generation systems, and intelligent job-scraping workflows that I actually use myself.

What I bring to every engagement

  • I document everything. Flowcharts, Loom walkthroughs, written weekly updates.
  • I communicate proactively. No surprises, no disappearing acts.
  • I evaluate tools honestly. Written analysis, real recommendations.
  • I think in systems, not features. Production from day one.

Beyond client work, I publish technical content on YouTube, Instagram, and LinkedIn — sharing the real workflows, system designs, and engineering decisions behind production AI systems. No theory-only content. Everything I teach, I've shipped.

Need an AI Engineer?

Let's talk about your project

Get in touch
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Production AI tutorials from real projects

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At a glance

01Live RPA Bots4 in production
02Onboarding Automation45min → 2min
03ApproachSystems, not features
04Efficiency Score95 / 100

Nabeel Imran

AI Engineer · Islamabad, Pakistan

Location

Islamabad, Pakistan (UTC+5)

Status

Available for select projects

Currently at

Peersol → Veremark (UK)

Why Me

Senior engineer. Production builder. Async-friendly.

What separates this from agency work or junior freelancers.

4 RPA bots live

Live in production

Every project on this site is running for real users today. I don't ship demos — I ship systems your ops team depends on.

100% documented

Documented obsessively

Loom walkthroughs, written tool comparisons, flowcharts before code. You can audit, hand off, or onboard a teammate in days, not months.

95/100 efficiency

Senior systems thinking

Decisioning engines, audit logs, retry logic, observability. I architect for failure modes — not just the happy path.

UK enterprise live

Enterprise-tested

Currently shipping in production for Veremark (UK enterprise client) via Peersol. NDA-default, secrets-vault native, audit-ready by design.

< 2hr response

Fast where it matters

Replies under 2 hours. Weekly Looms. PoC in 3–7 days. I move fast on communication so you can move fast on decisions.

Remote · 4+ years

Async-first, global

Islamabad-based, working with EU and US teams daily. I overlap your morning, ship while you sleep, and arrive with progress every day.

Services

What I Build

Production-grade systems. Not prototypes.

Intelligent Automation Systems

End-to-end RPA pipelines using Axiom.ai, n8n, and Make.com — with error handling, retry logic, audit trails, and decisioning engines baked in. Built for production, not just demos.

n8nMake.comAxiom.aiBrowser Automation

LLM Integration & GenAI Systems

Custom AI applications powered by frontier LLMs and LangChain — RAG pipelines, AI agents, structured extraction, and streaming chatbot interfaces. Production-grade and eval-tested.

LLM IntegrationLangChainRAGVector DBs

Full-Stack AI SaaS Products

Complete web applications with embedded AI — from concept to deployment. Next.js + Node.js + PostgreSQL with AI features that actually enhance the product, not just bolt on.

ReactNext.jsNode.jsPostgreSQL

Enterprise API & Workflow Integration

Connecting complex enterprise systems — Monday.com GraphQL, Workday Custom Objects, Airtable, Notion — into cohesive automated workflows that sync data across platforms without manual intervention.

Monday.comWorkdayGraphQLWebhooks

AI Content Automation

Automated content factories using n8n, LLM-driven scripting, AI voice, and AI video — from script generation to video creation to scheduling. Built for creators and marketing teams who need scale.

n8nLLM ScriptingAI VoiceAI Video

AI Architecture & Tech Evaluation

Not sure which tool to use? I evaluate, document, and recommend. I've done formal written analyses comparing browser-automation engines, secrets management approaches, and LLM integration patterns.

Technical AnalysisSystem DesignPoC

Work

Production Systems, Not Portfolios

Every project here is live, tested, and running for real clients.

Live in ProductionEnterpriseFeatured Project

Veremark Background Screening Automation Platform

The most complex automation system I've built. A multi-country enterprise RPA platform for Veremark (UK) — replacing hours of manual compliance work with fully automated, audit-ready pipelines.

4 Live Production Bots

  • Australian Federal Police (AFP) Check
  • Philippines Criminal Record Check
  • UK Directorship Verification
  • Employment Check Automation

Key Achievements

  • 4 live RPA bots running in production
  • Rule-Based Decisioning Engine with 95/100 efficiency score
  • Package creation: 45+ minutes → under 2 minutes
  • Audit-Log Engine & Benchmarking System
  • Direct collaboration with Veremark UK engineering & ops teams
  • 6-variant name-logic matching algorithm
Axiom.ain8nMonday.com GraphQLLLM IntegrationAWSJavaScriptPython
View Case Study
LiveFull-Stack

RankGuide — AI Marketing SaaS

Production AI-powered marketing assistant and social media content generator with streaming responses and user auth.

Next.jsNode.jsPostgreSQLLLM Integration
Details Live
LiveAI Automation

Dawn Fulfillment — Order Operations Automation

End-to-end n8n order fulfillment engine: order intake → validation → inventory sync → carrier dispatch → customer notifications, with zero manual touchpoints.

n8nWebhooksREST APIsPostgreSQL
Details
LiveAI Automation

AI CV Screening Pipeline

n8n + LLM recruitment pipeline: parses incoming CVs, scores candidates against role criteria, and delivers ranked shortlists with reasoning — hours of screening down to minutes.

n8nLLM IntegrationDocument ParsingGoogle Sheets
Details
ShippedFull-Stack

Social Media Content Generation SaaS

12-tool AI creator platform with ideation, scripting, repurposing, and Make.com auto-publishing integration.

LLM IntegrationNext.jsMake.comNode.js
Details
ShippedGenAI

GenAI Scene Generator

AI web app transforming written scripts into cinematic video sequences with character memory and multi-style support.

AI Image GenerationAI VisionLLM IntegrationReact
Details
ShippedAI Automation

AI TikTok Content Factory

Fully automated pipeline: topic ideation → LLM-generated script → AI voice → AI video → auto-post. 5–10 videos/day.

n8nLLM IntegrationAI VoiceAI Video
Details
PersonalAI Automation

AI Job Intelligence System

Automated job discovery: scrapes LinkedIn + Upwork every 30 min, generates AI-personalized proposals, delivers to Slack.

n8nLLM IntegrationSlack
Details
View All Projects

How I Work

A clear path from idea to production

Documented every step. No surprises, no disappearing acts.

STEP 01

Discover & Scope

We start with a Loom walkthrough of your current process. I document the bottlenecks, map data flows, and write a clear scope with deliverables you can actually evaluate.

You get

  • Written project brief
  • Loom walkthrough
  • Tech evaluation memo

STEP 02

Architect & Validate

I design the system on paper before touching code. Flowcharts, edge cases, retry logic, and a tool comparison — all written down before sprint one.

You get

  • System flowchart
  • Tool comparison doc
  • Working PoC

STEP 03

Build in Production

No staging-only demos. Every checkpoint runs against real data, with audit logs, error handling, and observability baked in. You get weekly Loom updates.

You get

  • Weekly Loom updates
  • Async Slack/email channel
  • Audit-ready logs

STEP 04

Handoff & Document

I write the runbook your ops team will use after I leave. Tutorials, recovery playbooks, and 30 days of async support so your team owns it confidently.

You get

  • Runbook & playbooks
  • Team training Loom
  • 30-day async support

Experience

Where I've shipped

Staff-augmented at a UK enterprise. Computer vision in industry. Built across the AI stack.

  • AI Engineer

    Current

    Peersol Consulting · Staff Augmentation: Veremark (UK)

    Aug 2024 — Present · Islamabad, Pakistan

    • Engineered & deployed 4 live RPA bots for Veremark enterprise compliance: Australian Federal Police Check, Philippines Criminal Record Check, UK Directorship Verification, and Employment Check — adopted by operations teams of 5–6 personnel per check type.
    • Designed a Rule-Based Decisioning Engine for UK Directorship verification with 6-variant name logic, cross-referencing Gov.uk and VNET — 95/100 efficiency score with audit-compliant fallback SOP.
    • Architected and shipped a client-approved POC Package Creation automation: Monday.com GraphQL → Axiom.ai → VNET sync — 45+ minutes → under 2 minutes per onboarding.
    • Built the Audit-Log Engine and Analytical Benchmarking System enabling Veremark leadership to quantify time-savings vs manual baselines.
    • Authored a written technology evaluation comparing browser-automation engines and recommended the production stack based on UI stability, reliability, and enterprise audit requirements.
    • Workday integration specialist: Custom Objects, RAAS-based reporting pipelines, and Studio → custom API migration for HR data.

  • IoT & Computer Vision Intern

    Zigron

    Jul 2022 — Sep 2022 · Islamabad, Pakistan

    • Built Computer Vision models on production-constrained datasets: object detection, segmentation, and classification using YOLO architectures.
    • Delivered end-to-end model deployment pipelines — embedding practical ML engineering discipline into model training, validation, and inference optimization.

Tech Stack

Tools I Ship With

40+ technologies across AI, automation, full-stack, cloud, and enterprise systems.

LLMLLM Integration
LangChain
RAGRAG Pipelines
AgentsAI Agents
VectorVector Search
Hugging Face
CVComputer Vision
PromptPrompt Eng.
n8n
Make.com
AxiomAxiom.ai
Zapier
RPABrowser RPA
Next.js
LLMLLM Integration
LangChain
RAGRAG Pipelines
AgentsAI Agents
VectorVector Search
Hugging Face
CVComputer Vision
PromptPrompt Eng.
n8n
Make.com
AxiomAxiom.ai
Zapier
RPABrowser RPA
Next.js
LLMLLM Integration
LangChain
RAGRAG Pipelines
AgentsAI Agents
VectorVector Search
Hugging Face
CVComputer Vision
PromptPrompt Eng.
n8n
Make.com
AxiomAxiom.ai
Zapier
RPABrowser RPA
Next.js
React
TypeScript
JavaScript
Tailwind CSS
Flutter
Dart
Node.js
Python
FastAPI
Django
GraphQL
PostgreSQL
MongoDB
Supabase
React
TypeScript
JavaScript
Tailwind CSS
Flutter
Dart
Node.js
Python
FastAPI
Django
GraphQL
PostgreSQL
MongoDB
Supabase
React
TypeScript
JavaScript
Tailwind CSS
Flutter
Dart
Node.js
Python
FastAPI
Django
GraphQL
PostgreSQL
MongoDB
Supabase
Firebase
AWSAWS
AzureAzure
GCP
Vercel
Netlify
Docker
GitHub
mondayMonday.com
WorkdayWorkday
Notion
Airtable
Slack
Firebase
AWSAWS
AzureAzure
GCP
Vercel
Netlify
Docker
GitHub
mondayMonday.com
WorkdayWorkday
Notion
Airtable
Slack
Firebase
AWSAWS
AzureAzure
GCP
Vercel
Netlify
Docker
GitHub
mondayMonday.com
WorkdayWorkday
Notion
Airtable
Slack

AI & LLM

08
  • LLMLLM Integration
  • LangChain
  • RAGRAG Pipelines
  • AgentsAI Agents
  • VectorVector Search
  • Hugging Face
  • CVComputer Vision
  • PromptPrompt Eng.

Automation & RPA

05
  • n8n
  • Make.com
  • AxiomAxiom.ai
  • Zapier
  • RPABrowser RPA

Frontend

07
  • Next.js
  • React
  • TypeScript
  • JavaScript
  • Tailwind CSS
  • Flutter
  • Dart

Backend

05
  • Node.js
  • Python
  • FastAPI
  • Django
  • GraphQL

Databases

04
  • PostgreSQL
  • MongoDB
  • Supabase
  • Firebase

Cloud & DevOps

07
  • AWSAWS
  • AzureAzure
  • GCP
  • Vercel
  • Netlify
  • Docker
  • GitHub

Enterprise Systems

05
  • mondayMonday.com
  • WorkdayWorkday
  • Notion
  • Airtable
  • Slack

Don't see your stack? Nabeel is a senior engineer who picks up modern tools fast — the stack rarely matters as much as how the system is architected.

Content

Technical Content — AI Engineering

Real systems. Real code. No abstraction layers between you and production.

I document what I actually ship. Every tutorial is pulled from a live client engagement — AI automations, n8n workflows, GenAI integrations, full-stack AI products. Explained by an engineer who has them running in production, not a content creator who read the docs last Tuesday.

Content I create

Long-form engineering breakdowns of production AI systems
Behind-the-scenes: real n8n and automation workflows from client work
Architecture deep-dives on LLMs, RAG pipelines, and AI agents
Short-form automation demos and system walkthroughs
▶

YouTube

@nabeelscode

In-depth tutorials, full courses, and workflow walkthroughs. Learn to build AI automation systems from production code.

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◎

Instagram

@nabeelscode

Daily AI content, behind-the-scenes automations, and engineering content that hits different.

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♫

TikTok

@nabeelscode

Short-form AI tutorials and automation demos. 30 seconds to learn something new.

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in

LinkedIn

Nabeel Imran

AI engineering insights, case studies, and thoughts on the automation landscape.

Connect

Get AI automation workflows delivered weekly

Real n8n flows, real automation recipes. No spam.

Social Proof

What Clients & Colleagues Say

“3 Background Checks Live on our Axiom Automation. Good work Nabeel.”

F

Furqan

Technical Lead · Peersol Consulting

Verified

“This is mind blowing! The package automation is exactly what we needed.”

O

Olive Rose Aborot

Product Operations · Veremark

Client

“Nabeel thinks in systems, not features. Every delivery comes with documentation, a Loom walkthrough, and zero surprises.”

P

Project Stakeholder

Senior Operations · Enterprise Client

Verified

FAQ

Questions before we talk?

The things every serious client asks. Direct answers, no fluff.

Usually within 3–5 business days for new projects. For urgent work, I can scope and kick off within 24 hours after our first call. I'll always be upfront about my current capacity.

Still have questions?

Ask Billy in the chat below, or reach me directly. I usually reply within 2 hours during PKT business hours.

Message on WhatsAppEmail Nabeel

Average reply: under 2 hours

Contact

Let's Build Something

Have a project? A problem that needs an AI solution? Let's talk.

Available for select projects

WhatsApp · Fastest

+92 323 9960094

Email

i.nabeel7@outlook.com

LinkedIn

linkedin.com/in/nabeelimrann

Location

Islamabad, Pakistan (UTC+5)

Available for remote work globally

Response Time

Usually within 2 hours

during PKT business hours

What I can help with

  • AI Automation & RPA Systems
  • GenAI Product Development
  • Full-Stack AI Applications
  • Enterprise Integration Projects
  • Technical Architecture Consulting
  • AI Content System Design
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