ConsultancyActive
AISynq
An AI consultancy that identifies, builds, and proves.
- Role
- Founder
Senior Software Engineer · Product Owner · Founder
I build software, from architecture to launch,and turn unclear problems into systems that ship.
I am a senior software engineer who takes on the whole product, not just the code. Over twelve years, across enterprise systems and my own company, I have learned to take something from a rough idea through architecture, build, launch, and the number it has to move. Most hard problems are not really technical, so I handle all of it: engineering, product, AI, and growth.
Worked with
DIRECTVaccentureThe Simons GroupSingapore Government
AI Transformation
How I workAI that makes it past the demo.
Strategy · Workflows · Agents · Adoption
Engineering
See the workTwelve years shipping real software.
Architecture · Web · Mobile · Cloud
For founders
Get helpWhat to build. What to kill.
Ventures
View venturesWhat I’m building right now.
AISynq · InstinctGTM
Worked with
DHL · AT&T · DIRECTV · Accenture · Singapore Government
Engineering, consulting, and delivery work.
- 12+years building software
- 6organisations worked with
What I do
What I can help you with.
I move between code, product, AI, and growth without losing sight of the result you actually need.
Engineering & Product
Whole systems, not tickets. I take a product from architecture to launch, including the messy integrations most people avoid.
- Architecture
- Web & mobile
- Integrations
- Delivery
AI Transformation
Most AI stops working after the demo. I build the few ideas worth keeping into tools your team uses every day.
- Workflow diagnosis
- Agents & automation
- Pilots
- Adoption
Startups & Founders
I have built my own company and shipped for large enterprises. I help you decide what to build, what to drop, and what is slowing growth.
- Validation
- MVP scoping
- Growth constraints
- Founder systems
What I’m building
Ventures & operating work
I use my own ventures to test the same questions I help other founders answer.
Software productBuilding
InstinctGTM
An AI go-to-market tool that helps founders show up everywhere their buyers are.
- Role
- Founder
In closed beta. Still early, still building.
In their words
What people say after working together.
Radwan thinks outside the box. What makes him unique is that he does not think about engineering in isolation. He thinks holistically about the product and the business, and he takes full ownership.
A highly reliable engineer with attention to detail. He never failed to deliver what was needed. Smart, trustworthy and professional.
Radwan is great to work with, and thorough in his work.
How I work
I work across the whole system.
Most hard problems are not what they look like. A product problem is often really an onboarding problem. An AI problem is often a broken process. So I do not start with the answer. I start from the result you want, work backwards to the one thing blocking it, and fix that, whether the fix is software, AI, or a clearer decision.
- 01
Find the real constraint
There is usually one thing holding back the result. I fix that, not the ten things that are more fun to work on.
- 02
Fix the process before adding AI
If you automate a broken process, you just get a faster broken process. Fix the process first. Sometimes that is the whole job.
- 03
Ship something you can measure
A slide deck changes nothing. The work has to go live, get used, and move a number we agreed on before we started.
My stack
Tools I build with.
The kit I reach for every day, including one I built myself.
- Claude CodeDaily driver for building
InstinctGTMMy own GTM engine- n8nWorkflow automation
OpenClawMain agent harness
HermesSecondary agent harness
Grok BotReal-time X and web signal
Writing
Things I have learned building software.
A few pieces worth reading, not a blog full of filler.
- 14 min readessay
How to become an AI-native software engineer without getting slower
A randomised trial found experienced developers were 19% slower with AI while believing they were 20% faster. This is what closes that gap, and the workflow that makes the speed real.
- 6 min readessay
Why AI transformation fails after the demo
The demo is the easy part. Most AI programmes stall in the gap between a working prototype and a system people rely on every day.
- 5 min readframework
Fix the process before you automate it
Automating a broken workflow just gives you a faster broken workflow. The cheapest improvement is usually removing a step, not adding a model.
Got something hard to build?
Send me the details. If I can help, I will tell you how. If I cannot, I will say so.