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Designed and delivered a custom CRM system for a language education company to support and streamline its internal operations. The platform was built with Python and FastAPI and developed over a six-month period. The solution was tailored to the client’s business model, providing a structured system for managing workflows, data, and core operational processes in a scalable and efficient way.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Speed Is Easy. Clean AI-Assisted Development Is Hard.
AI tools can help developers move fast. They can generate code, write tests, explain errors, and speed up boring tasks.
But speed alone is not enough.
The real challenge is keeping the product clean while using AI. If you accept every suggestion without checking it, the codebase can quickly become bloated, inconsistent, and hard to maintain.
That is why I treat AI like a strong assistant, not the main developer.
I use tools like Claude and Cursor to speed up planning, debugging, refactoring, and implementation. But I still review the logic, check the architecture, and make sure the code fits the product.
Clean AI-assisted development means:
Keeping features simple
Avoiding unnecessary code
Understanding what gets added
Protecting the architecture
Testing before trusting
AI can help us build faster, but good judgment keeps the product healthy.
The best results come when developers use AI with control, not blindly.
That is where real productivity happens.
Syniqs - Full Stack AI Software Agency Landing Page
This project explores a modern digital experience focused on solving real user friction through clean, intuitive UI. The goal was to design something that feels fast, simple, and visually engaging while improving usability across key flows.
Syniqs was founded by engineers who spent years watching agencies prioritise timelines over truth, features over fundamentals, and demos over durability. We built the studio we always wished existed.
Researched similar products and identified usability gaps
Defined core user needs and main interaction flows
Created wireframes to structure content and layout
Designed high-fidelity UI with a focus on consistency and accessibility
this is amazing
I built a Google Sheets data analyst in 3 steps, no code required.
Here's how it works:
💬 I ask via WhatsApp: "How much money did the business make between March and June?"
🤖 AI reads the message and checks the Google Sheet
📊 Filters all transactions between March and June
✅ Only counts successfully completed transactions
➕ Adds everything up automatically
💬 Sends back a full reply with the exact total
No opening spreadsheets. No manual filtering. No formulas.
Just ask a question and get the answer instantly.
This is what having an AI analyst on your team actually looks like.
Video below 👇
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