Lahore, Pakistan
Available·

CTO / Operator

I help businesses turn messy workflows into agent-ready systems.

Practical AI, automation, dashboards, and workflow systems.
Solo-first. Digitalux-backed when needed.

Built from real delivery: CRMs, dashboards, workflow automation, AI prototypes, and operational systems.

Ahmed Raza

Ahmed Raza

Full-Stack Engineer | AI Systems Specialist | Operator

System flow
Messy inputs
Workflow gap
Human review
Dashboard
Agent-ready output

Who this is for

I work with people who have a real workflow problem.

You have leads, but no clean intake or follow-up system.

Your team uses tools, but the workflow still lives in people’s heads.

You want AI, but your data, approvals, and ownership are not ready.

Your dashboards show activity, but not the decisions that matter.

Your product or operations are growing faster than your system discipline.

What I can help with

Focused on diagnosis, prototyping, readiness, and advisory. No agency bloat.

Diagnose

AI Systems Audit

Map your workflow end-to-end to find where automation fits — and exactly where your operations aren't ready yet.

Best for: Founders and operators with messy handoffs, scattered tools, manual reporting, or weak intake.

Request an audit
Prototype

Agent Prototype Sprint

Build and run a working prototype of your highest-leverage workflow with real data in 14 days.

Best for: Teams that want to test AI utility in production before committing to a full engineering build.

Prototype a workflow
Check

Agent-Ready Website & Workflow Audit

Check if your site pages, structured data, and backend processes can be processed by AI agents and customers.

Best for: Service and SaaS teams preparing for the shift toward agentic search and autonomous workflows.

Check agent readiness
Guide

AI Ops Advisory

Get ongoing CTO-level architecture reviews, trade-off analysis, and system judgment on your tech stack.

Best for: Founders needing practical, hype-free technical direction without a full-time executive hire.

Discuss advisory

How I work

Diagnosis first. Then systems.

01

Diagnose the Workflow

You share your real workflow problem. I listen, ask questions, and understand what's actually happening — not what should be happening.

02

Map the Real Bottleneck

I map the workflow end-to-end, find where things break, where data leaks, and where manual work is hiding.

03

Design the System

I scope a system that fits your operations — not an overbuilt solution. The right dashboards, automations, and tools for your actual needs.

04

Prototype the Highest-Leverage Workflow

Build a working prototype of the most impactful workflow first. Test it with real inputs before committing to a full build.

05

Add Human Review & Audit Trails

Every AI or automation step gets human review gates, permissions, and audit trails. No black-box decisions.

06

Bring in Digitalux When Needed

When the project needs deeper build capacity — engineering, QA, deployment — I bring in the Digitalux team under my architectural direction.

Systems I've led

Real platforms and workflow systems built for client operations.

ESV CRM screenshot

ESV CRM

Live
Problem

Tourism operation losing bookings, coordinating manual vendor assignments via group chats, and lacking unified visibility.

System built

Relational database mapping automated bookings to active vendor schedules, with custom role-based portals.

Role: Led architecture, directed Digitalux team on delivery.

Next.jsNestJSPostgreSQL
Flowtopia Dashboard screenshot

Flowtopia Dashboard

Live
Problem

Options traders needed high-frequency options data streams filtered and alerted in real time.

System built

High-throughput data parsing pipeline using Express, Redis caching layer, and optimized Highcharts React wrappers.

Role: Led real-time data architecture with Digitalux team.

Next.jsRedisSocket.io
The Hockey Review screenshot

The Hockey Review

Live
Problem

Hockey community platform stuck on a static site that couldn't handle dynamic reviews, player indexing, or premium content.

System built

Dynamic Next.js portal powered by Strapi CMS and Stripe Subscriptions, structured with dynamic routing.

Role: Led platform architecture and system design with Digitalux team.

Next.jsStrapi CMSStripe

More systems I've worked on

627EEA NFT Dashboard·Internal Tools
Alpha Padel·CRM / BookingLive
Sheppardd.io·AI AssistantsLive

Operator proof

Watch the thinking behind the systems

A short breakdown of how I approach messy workflows, AI readiness, and execution.

When implementation needs a full team, I bring in Digitalux for engineering, QA, deployment, and support. My personal role stays focused on diagnosis, architecture, prototype direction, and technical judgment. Learn more

Client feedback

"Highly recommended to work with Ahmed. Made my project perfect. Thanks for his hardwork and his patience. Work went very flexible to complete the milestones."

Kishore Yamjala

CEO, Rugusat · Upwork Verified Client

"Ahmed did a great job. He is very skilled as well as available and responsible in whatever needed to be done. Highly recommended!"

Shana Steinman

Verona, United States · Upwork Verified Client

Background

Technical stack

AI / Automation

OpenAI API

LangChain

LLM Agents

RAG

n8n

Product Engineering

Workflow Mapping

Internal Tools

CRM Systems

Dashboards

Prototype Sprints

Backend / Cloud

Node.js

NestJS

PostgreSQL

Redis

AWS

Frontend / UX

Next.js

React

Tailwind CSS

Mantine UI

Highcharts

Leadership / Delivery

Architecture

Technical Direction

QA Handoff

Deployment

Team Delivery

Experience

Digitalux
DigitaluxLead Software Engineer (Partnership) · 2024–Present
Hashlogics
HashlogicsTeam Lead & Full-Stack Developer · 2022–2024

Education & credentials

BS Computer Science · FAST-NUCESMS Dev, Tech & Policy · ITU
Retrieval Augmented Generation (RAG)Introduction to Artificial IntelligenceEthics in the Age of Generative AIGenerative AI: The Evolution of Thoughtful Online Search

Questions

Clear answers before we discuss scope, build effort, or whether AI belongs in the workflow.

Yes. This site is for my personal diagnosis, advisory, and prototype work. When implementation needs a larger team, I bring in Digitalux.

No. AI is useful only when the workflow, data, ownership, and review process are clear. Many projects start with workflow cleanup before AI.

Workflow diagnosis, data/input review, bottleneck mapping, automation/agent opportunities, risk areas, and a practical implementation roadmap.

Yes. Small prototypes can be handled solo-first. Larger builds can be Digitalux-backed under my architectural direction.

Send the workflow, the tools involved, where it breaks, and what success would look like in 30–60 days.

Have a messy workflow?

Send the workflow, the tools involved, where it breaks, and what success would look like.

Workflow diagnostic form

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