I help SaaS teams figure out where AI actually fits in their business - then I build it.
Senior software engineer. End-to-end builds. No agency layers, no productized templates - just a real solution to the specific problem your team is trying to solve.
30 minutes. Tell me what is broken or what you wish existed. I will tell you straight if AI can help - and what I would build.
Senior Software Engineer. Founder. Every system designed and built personally.
Who is behind this.
I am Radwan - a Senior Software Engineer and Founder.
I have spent years building SaaS products, internal tools, and AI systems from scratch. Not configuring templates - writing the code, designing the architecture, shipping things that work in production.
I started AISynq because every SaaS team I worked with had pockets of their business - manual processes, missing features, internal tools that never got built - where AI could obviously help. But they did not have an engineer who could walk in, understand the problem, and just ship the solution. That is the gap I fill.
What I build.
Anything where AI, code, and a SaaS business intersect.
AI features inside your product
AI assistants for your users, automated insights, generative content, smart workflows - the features your customers are asking for but engineering has not had time to build.
Internal automation systems
Replace manual ops work. Connect the tools your team uses. Build the pipelines that make your business run without humans copying data between tabs.
Custom internal tools
The dashboards, admin panels, and operational tools your team has been asking for but keep getting deprioritised on the engineering roadmap.
Customer-facing AI tools
Onboarding flows, support agents, personalisation engines, lead scoring - AI that touches your customers directly and moves the metrics that matter.
Data and analytics systems
Surface what actually matters. Connect your data sources. Build the reporting your team trusts because the numbers are real.
Whatever else needs building
If it involves AI, code, and a SaaS business - bring it to the call. The discovery conversation is where we figure out if it is worth building.
How I work.
We talk.
30-minute discovery call. You tell me what is broken, what is manual, or what you wish existed. I tell you straight whether AI is the right tool for it and what I would build.
I scope it.
You get a written proposal with the approach, timeline, and price - before you commit to anything. No surprises, no scope creep, no agency-style upsells.
I build it.
End-to-end. I write the code. I connect the tools. I ship the system. You do not manage the build - you review the output and put it to work.
Why work with me instead of an agency or a tool.
Engineer, not agency.
I write the code myself. There is no junior team between you and the work. You talk to the person building the thing.
Senior, not generalist.
I have shipped real SaaS products from zero. I know what good architecture looks like and what it costs to get wrong.
Direct, not productized.
I do not have a $5K package I am trying to fit your problem into. We figure out what is actually worth building, then I build exactly that.
If your SaaS team has a problem AI could solve - let's talk.
30 minutes. No pitch, no deck. I will tell you straight whether AI can help and what I would build.