DEV Community: CodeMaestro106

Looking for a Long-Term US Collaboration Partner

CodeMaestro106 — Tue, 29 Sep 2026 09:21:20 +0000

Hi,
I’m a senior full-stack and AI developer based in Singapore, and I’m looking to build a long-term professional collaboration with someone based in the United States.

The idea is simple:

How we would work

For each opportunity, we would discuss everything before starting:

What the opportunity requires
Whether the collaboration is permitted by the platform/client
Who is responsible for each part
Timeline and deadlines
Compensation and revenue split
How the work will be delivered

Everything would be transparent, and we would follow the platform's rules, client requirements, and applicable laws. I’m not looking for someone to misrepresent their identity, location, qualifications, or eligibility.

The goal

I'm not looking for a one-time arrangement.
I'd like to find someone reliable who is interested in building a long-term professional partnership where we can:

Find opportunities → Evaluate them → Work together → Deliver quality work → Share the results → Grow together

If you're based in the US and this sounds interesting, tell me a little about yourself:

Where you're located
Your professional background
Your experience
Your availability
What kind of work you would enjoy doing

You can contact me on Telegram: @codemaestro106
I'd be happy to start with a conversation and see whether we might be a good fit.

Looking for Long-Term AI Project Collaborators in the US

CodeMaestro106 — Mon, 28 Sep 2026 01:46:56 +0000

Hi! I’m a senior full-stack and AI developer based in Singapore. I’m hoping to connect with reliable, motivated people in the US who are interested in building a long-term professional partnership around AI training opportunities and real software projects.

There are many promising opportunities across job platforms, AI-training programs, startups, and freelance marketplaces. Finding, evaluating, and delivering these opportunities can be difficult for one person—but with the right collaboration, we may be able to accomplish much more together.

You do not need to be a developer. I can take responsibility for the technical work, while you contribute in areas that match your experience and availability, such as:

Finding and researching suitable opportunities

Communicating with prospective clients
Coordinating projects and requirements
Conducting research, testing, or quality assurance
Supporting documentation and project delivery

If you are a developer, that’s even better. We can share technical responsibilities, learn from one another, and take on larger or more challenging projects together.

For every opportunity, we would discuss the scope, responsibilities, deadlines, and revenue split before starting. Compensation would reflect each person’s contribution, and all collaboration would remain transparent, professional, and compliant with the client’s requirements and the rules of each platform. We would never share accounts or misrepresent who is performing the work.

My goal is not simply to complete one task. I’d like to build a dependable working relationship where we can identify opportunities, deliver valuable work, and grow together over time.

If this sounds interesting, please tell me a little about yourself, your location, experience, availability, and the kind of work you would enjoy contributing to.

You can contact me on Telegram: @codemaestro106
I’d be happy to start with a conversation and see whether we might be a good fit.

Looking to Connect With Junior Developers

CodeMaestro106 — Sun, 27 Sep 2026 05:04:39 +0000

There are so many talented junior developers trying to get their first job.

There are plenty of job boards, freelance platforms, and opportunities online, but getting that first real opportunity can be difficult when you don't have much professional experience yet.

I've been on the other side of that journey, and I know how valuable practical experience, guidance, and having someone to work with can be.

I'm a senior full-stack developer based in Singapore, and I'm interested in connecting with junior developers in the US and Europe who are serious about learning and building.

My goal isn't simply to find people to work for me.
I'd like to create connections where we can:
🤝 Build real projects together
💻 Gain practical development experience
🧠 Share knowledge and learn from each other
🚀 Help each other find better opportunities
🌱 Grow our skills and professional networks
💰 Eventually turn good projects into paid opportunities

I believe that a junior developer doesn't necessarily need to know everything before getting an opportunity.

Sometimes they just need someone willing to give them a chance, work alongside them, and share some experience.

If you're a junior developer, self-taught developer, recent graduate, or simply someone who is trying to break into software development, I'd love to hear what you're currently working on.

Tell me: What are you building right now?

You don't need an impressive resume or years of experience. I'm much more interested in seeing what you're learning, what you're building, and what you're interested in.

I'm based in Singapore, but I'm looking to connect with developers across the US and Europe.

If this sounds interesting, leave a comment or send me a message.
Let's connect.

What I’m Learning While Building AI-Powered Applications

CodeMaestro106 — Sun, 27 Sep 2026 04:56:22 +0000

One thing I’ve learned recently: Adding an LLM API is the easy part But
building an AI feature that people can actually trust inside a real product is much harder.

In one of the SaaS platforms I’m working on, we built a Smart Upload workflow for energy and compliance data.

The basic idea sounds simple:
Upload CSV/Excel → AI reads it → structured data is created.

But the real workflow became much more interesting:
Upload → Analyse → Review → Correct → Re-analyse → Validate → Import

A few lessons stood out.

AI output should not immediately become application data.
We treat the AI result as a proposal. The user can review detected assets, energy types, units, dates and consumption values before anything is finally imported.
Human corrections are valuable context.
If the AI misunderstands something, the user can give an instruction such as:
“The unit is kWh.”
or
“The reporting period is January to March.”
The system can then analyse the file again while preserving corrections the user has already made.
That sounds like a small UX detail, but it changes the experience from:
“AI got it wrong, start again”
to:
“AI and the user are progressively improving the result together.”
Context matters more than a clever prompt.
We’re also working with chatbot-style functionality inside the platform.
The useful version of a chatbot isn’t one that knows everything.
It’s one that understands:
- where the user is in the workflow
- what organisation they are working with
- what data already exists
- what their role allows them to do
- which application tools it can safely use
AI needs normal software engineering around it.
Validation, permissions, audit history, structured schemas, error handling and deterministic business rules are still essential.
The LLM is one component of the system—not the system itself.

My biggest takeaway so far:
*Good AI products are less about generating answers and more about designing a reliable collaboration between AI, application data and the user.
*
Still learning a lot here, especially around structured outputs, tool use, agents and building AI into real business workflows.