Ai Machine Learning Development Services in Nepal
Professional Ai Machine Learning Development tailored for startups and enterprises.
Why Ai Machine Learning Development Services in Nepal?
The Strategic Advantage
Most machine learning work that reaches production is not modelling, it is the pipeline around it: getting the data clean, holding a test set back honestly, deciding what an acceptable error looks like, and shipping the thing behind an API that fails safely when the model is unsure. The fake-news classifier I built reached 94% accuracy on held-out data, and the majority of that project was the pipeline, not the architecture.
The trade-off nobody sells you is that a model is a probability, not a rule. It will be wrong sometimes, and the design question is what happens when it is β whether a human reviews the uncertain cases, whether the user sees a confidence score, whether a wrong answer is merely annoying or actually costly. I would rather have that conversation with you in scoping than after launch.
βKey Benefits
- A held-out test set and an honest accuracy figure, not a demo score
- 94% classification accuracy delivered on a production NLP model
- Models served behind an API that degrades safely when unsure
- A plan for the wrong answers, agreed before the model ships
What I Build
Comprehensive Solutions
ML Pipeline Design
Data cleaning, feature work, training and evaluation set up so the result is reproducible, not a one-off notebook.
Model Development
Classification, regression and NLP models in TensorFlow, PyTorch or scikit-learn, chosen to fit the data you have.
Serving & Integration
The trained model exposed behind a versioned API your app can call, with confidence thresholds and fallbacks.
Deployment
Deployed behind a CI pipeline, with environment separation and error monitoring wired up before launch.
Maintenance
Retainer support from USD 800/month for dependency updates, bug fixes and small feature work.
Handover
You get the repository, the deployment runbook and a walkthrough β not a black box.
Tech Stack
Modern Tools
Real Projects
Proven Experience
See how I have implemented these technologies in real-world production environments.
How I Work
Development Process
Discovery
Understand your goals & constraints
Proposal
Written scope, milestones & pricing
Build
Fortnightly sprints with live demos
QA
Testing, review & refinement
Launch
Deploy, hand off & support
Ai Machine Learning Development vs An Off-The-Shelf AI API
Technical Comparison
| Criteria | Ai Machine Learning Development | An Off-The-Shelf AI API |
|---|---|---|
| Fit to your specific data | Trained on it | Generic |
| Time to first result | Weeks | Days |
| Per-request cost at scale | Yours to control | Metered by the vendor |
| Your data leaving your systems | It does not have to | It does |
Frequently Asked Questions
Common Inquiries
Less than most people expect for a scoped classifier, more than most expect once the data needs cleaning. Fixed-price starts at USD 500 for a well-defined model on data you already have in usable shape; hourly is USD 25β45 with a ten-hour minimum, which is usually the better model for exploratory work where nobody yet knows whether the signal is in the data. I will tell you after looking at a sample which of the two applies.
Usually the first one to two weeks, and that is deliberate. The first milestone is a baseline on your real data β often a deliberately simple model β because that tells us whether the signal exists before anyone spends a month on architecture. If the baseline says the data cannot support the product, you find out early and cheaply, and I will say so plainly.
Then that is the first problem to solve, and I will say so rather than train something on a few hundred rows and present the accuracy figure as if it meant anything. Sometimes the honest answer is a rules-based system now and a model once you have collected six months of real usage. Sometimes a pre-trained model can be fine-tuned on far less data than training from scratch would need.
Yes. On final payment you own the repository, the assets and the deployment configuration outright, with no licence back to me and nothing held in an account you cannot access.
A written update every week whether or not there is good news in it, a demo of the working build at each milestone, and a reply to anything you send inside 24 hours. I work in your Slack or your issue tracker rather than asking you to adopt mine. I am in Kathmandu at UTC+5:45, working Sunday to Friday, 09:00β18:00 β the full overlap-by-region breakdown is on how I work.
Nothing. A 30-minute call costs you nothing and carries no obligation; if the project is not a fit I will say so on that call rather than send a quote anyway. If it is a fit you get a written scope, a milestone plan and a fixed price within 48 hours of the call.
Investment
Transparent Pricing
Transparent pricing β no surprises. All prices in USD.
Fixed Price
From $500
Ideal for well-specified projects where the requirements will not change. Agreed price, agreed milestones, agreed delivery date.
- βWritten scope before work starts
- βMilestones with payment gates
- βNo surprise overruns
- β30 days bug-fix support included
Hourly Rate
$25 β $45 / hr
Flexible for ongoing work, feature additions, or projects with evolving requirements.
- βFlexible scope
- βPrecise time tracking
- βMinimum 10 hours
- βWeekly time reports
Monthly Retainer
From $800 / mo
Dedicated hours each month. Priority availability. Best for long-term product partnerships.
- β10β20 hrs/month
- βWeekly status report
- βPriority response time
- βIncludes performance monitoring
Free 30-min consultation included with every inquiry. Contact me for a tailored estimate.
Let's Talk
Start a Conversation
Need a Ai Machine Learning Development Services in Nepal Developer?
I build production-ready software with clear architecture and reliable delivery. Let's discuss your project.
Start a free conversation