Your Business Doesn't Need the Most Popular Framework. It Needs the RIGHT One.

Imagine investing in software today, only to discover six months later that it can't support your business growth.

You wanted to save time, improve operations, and grow your business. Instead, you're facing expensive changes, unnecessary complexity, and another development cycle.

Sounds frustrating, right?

The problem isn't always the software. Sometimes, it's choosing the wrong technology from the beginning.

React, Next.js, Angular, Vue, Laravel, Django, ASP.NET Core, or Express.js?

Every framework has its strengths. But the right choice depends on what you're trying to achieve.

Now imagine having software that actually fits your business.

Repetitive tasks handled through intelligent automation.

Business operations connected through custom integrations.

Better customer experiences through modern web applications.

Scalable architecture that supports future growth.

AI-powered solutions that create new business opportunities.

That's what I want to help you build.

I don't just write code or follow technology trends. I help you explore opportunities, identify the right technical approach, and turn business ideas into practical digital solutions.

Let's try something.

Imagine you could improve just ONE thing in your business with technology.

Would you:

Automate a time-consuming business process?

Build a custom platform to grow your business?

Introduce an AI agent to improve customer interactions?

Connect your existing tools into one seamless system?

Which one would make the biggest difference to your business?

If you already know what you want to build, let's discuss your requirements.

If you have an idea but aren't sure how to execute it, let's explore the possibilities together.

You bring the business challenge. I'll help you find the right technical solution.

Send me a message on Contra. Let's turn your next idea into something valuable. #SoftwareDevelopment #WebDevelopment #CustomSoftware #FullStackDevelopment #SoftwareEngineering #ReactJS #NextJS #Angular #VueJS #Laravel #Django #ASPNETCore #ExpressJS #PythonDevelopment #SaaSDevelopment #AIIntegration #AIAutomation #BusinessAutomation #WorkflowAutomation #APIIntegration #CRMDevelopment #ERPDevelopment #CustomWebApps #WebApplication #SoftwareArchitecture #DigitalTransformation #TechConsulting #StartupDevelopment #MVPDevelopment #BackendDevelopment #FrontendDevelopment #ScalableSoftware #BusinessSolutions #TechForBusiness #ContraFreelancer

This is the part clients usually skip, they pick whatever is popular and then find out six months later it doesn't fit how they actually work. I think team size and who has to maintain it matters more than the framework list. If nobody in-house can maintain it, even the right stack becomes a problem.

AI Customer Support Agent for Web Form, Gmail & WhatsApp An AI support agent that answers customer questions across a web form, Gmail and WhatsApp, and hands off to a human team when it should. Load-tested with 200+ messages and no lost messages.

I built an AI customer support agent as a demo for a fictional SaaS company called Flowmint. Customers can write through a web form, Gmail or WhatsApp. The agent finds the answer in a knowledge base, replies on the same channel, and passes the conversation to a human team (Billing, Sales, Support) for refunds, special pricing, or when a customer asks for a person.

One agent for three channels, with replies formatted for each (a clean HTML email, a short WhatsApp message, a private web tracking page)

Safety rules written in code: it can only quote approved prices, and refunds always go to a human

Remembers returning customers on email and WhatsApp

Private ticket tracking page with a secret tracking code

If the AI service is busy, it switches to backup AI models, and to a knowledge-base answer if all are limited

I load-tested the agent for 24 hours with 200+ messages across all three channels, using simulated customers plus real emails and WhatsApp messages I sent myself.

212 messages in, 212 replies out, none lost

Only 3.3% needed a human

Areas I’m improving: faster replies with a paid AI plan, and spam protection for the web form.

Tech stack: Python, FastAPI, OpenAI Agents SDK, Kafka, PostgreSQL, Next.js, Docker, Gmail API, WhatsApp Cloud API.

Writing the safety rules in code, not in the prompt, is the part I like most: approved prices only, and refunds always go to a human. My RAG demo also passes the question to a person when the guide has no answer. How does your agent decide that a customer "asks for a person": a fixed list of phrases, or does the model decide?