AI Application Development

Practical Machine Learning for Real Products

Why AI Application Development?

The Strategic Advantage

The gap between AI hype and what founders actually need is massive. You probably don't need to train a 100-billion parameter foundation model from scratch. You likely need a classification endpoint that holds up in production, intelligent data extraction, or a well-tuned RAG (Retrieval-Augmented Generation) pipeline.

I focus on practical AI. Whether it's integrating the OpenAI API to summarize complex reports, or training a custom scikit-learn model for a specific classification task, I build AI features that ship to production and actually drive revenue.

I've built and deployed a Fake News Detection System achieving 94% accuracy using TF-IDF and LSTM, wrapped in a FastAPI endpoint. That's real AI in production, not just a ChatGPT wrapper.

✓Key Benefits

  • Custom NLP Models: Text classification, sentiment analysis, and intelligent routing.
  • LLM Integration: Securely integrate GPT-4 or Claude with your proprietary database (RAG).
  • Predictive Analytics: Turn your existing data into actionable business forecasts.
  • Production Serving: ML models deployed efficiently via FastAPI and Docker.
  • Cost Optimization: Knowing when to use a cheap open-source model vs an expensive API.

What I Build

Comprehensive Solutions

LLM & RAG

Connect Large Language Models to your private data for accurate, hallucination-free answers.

Predictive ML

Custom models using scikit-learn or TensorFlow for regression and classification.

API Deployment

Wrap Python machine learning models into highly concurrent REST APIs.

Tech Stack

Modern Tools

Pythonscikit-learnTensorFlowFastAPIOpenAI APILangChainDocker

Real Projects

Proven Experience

See how I have implemented these technologies in real-world production environments.

How I Work

Development Process

1

Discovery

Understand your goals & constraints

2

Proposal

Written scope, milestones & pricing

3

Build

Fortnightly sprints with live demos

4

QA

Testing, review & refinement

5

Launch

Deploy, hand off & support

LLM APIs vs Training Custom Models

Technical Comparison

CriteriaOpenAI/Claude APICustom Model Training
Time to MarketDays/WeeksMonths/Years
CostLow (Pay per token)Extremely High (GPU Compute)
Use CaseText, Logic, ChatHighly proprietary data patterns
MaintenanceManaged by ProviderRequires MLOps team

Frequently Asked Questions

Common Inquiries

Yes, I integrate OpenAI's GPT-4 API (along with Claude or Gemini) into applications, typically using a RAG architecture so the AI can answer questions based on your specific company data.

If we are fine-tuning an existing model or using traditional ML (like Random Forests), it can take a few weeks. Training deep neural networks from scratch takes significantly longer.

For custom ML, you need clean, labeled data. If you don't have data, we usually start with an LLM API approach, or build the application to start collecting the necessary data first.

Integrating an existing API (like OpenAI) is very affordable—features start around $1,500. Building custom data pipelines and training bespoke models is more expensive, starting around $4,000.

For custom models, I wrap them in FastAPI and deploy them via Docker to AWS EC2 or DigitalOcean Droplets, ensuring they scale properly under load.

Investment

Transparent Pricing

Transparent pricing — 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.

  • ✓Written scope before work starts
  • ✓Milestones with payment gates
  • ✓No surprise overruns
  • ✓30 days bug-fix support included
Get a fixed-price quote
Most Flexible

Hourly Rate

$25 – $45 / hr

Flexible for ongoing work, feature additions, or projects with evolving requirements.

  • ✓Flexible scope
  • ✓Precise time tracking
  • ✓Minimum 10 hours
  • ✓Weekly time reports
Discuss hourly engagement

Monthly Retainer

From $800 / mo

Dedicated hours each month. Priority availability. Best for long-term product partnerships.

  • ✓10–20 hrs/month
  • ✓Weekly status report
  • ✓Priority response time
  • ✓Includes performance monitoring
Enquire about retainer

Free 30-min consultation included with every inquiry. Contact me for a tailored estimate.

Let's Talk

Start a Conversation

I am based in Kathmandu and available for freelance projects worldwide. Let's build something that works.

Quick Response

I reply within 24 hours. For the fastest response, include a brief description of your project, your budget range, and any existing materials.

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