AISynq
An AI consultancy that identifies, builds, and proves.
- Role
- Founder
Senior Software Engineer · Product Owner · Founder
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
AI that makes it past the demo.
Strategy · Workflows · Agents · Adoption
Twelve years shipping real software.
Architecture · Web · Mobile · Cloud
What to build. What to kill.
What I’m building right now.
AISynq · InstinctGTM
DHL · AT&T · DIRECTV · Accenture · Singapore Government
Engineering, consulting, and delivery work.
What I do
I move between code, product, AI, and growth without losing sight of the result you actually need.
Whole systems, not tickets. I take a product from architecture to launch, including the messy integrations most people avoid.
Most AI stops working after the demo. I build the few ideas worth keeping into tools your team uses every day.
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.
What I’m building
I use my own ventures to test the same questions I help other founders answer.
An AI consultancy that identifies, builds, and proves.
An AI go-to-market tool that helps founders show up everywhere their buyers are.
In closed beta. Still early, still building.
How I work
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.
There is usually one thing holding back the result. I fix that, not the ten things that are more fun to work on.
If you automate a broken process, you just get a faster broken process. Fix the process first. Sometimes that is the whole job.
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
The kit I reach for every day, including one I built myself.

InstinctGTMMy own GTM engine
OpenClawMain agent harness
HermesSecondary agent harness
Grok BotReal-time X and web signalWriting
A few pieces worth reading, not a blog full of filler.
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.
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.
Automating a broken workflow just gives you a faster broken workflow. The cheapest improvement is usually removing a step, not adding a model.
Send me the details. If I can help, I will tell you how. If I cannot, I will say so.