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Fiverr Pro
English
$
USD
I will integrate and deploy ai features into your existing application
Muhammad S
About this gig
Have an app and want to bolt on real AI, not just a buzzword? I take existing products and add working AI/ML features that actually ship to production.
What I do:
- Build or integrate the ML model (scikit-learn, or your existing model/checkpoint)
- Wrap it in a clean FastAPI service with proper endpoints
- Containerize with Docker so it deploys reliably on your infrastructure (AWS, GCP, VPS, etc.)
- Hand over documentation so your team isn't dependent on me afterward
Common requests I handle:
- Recommendation engines for e-commerce/content apps
- Image classification or detection features
- Document/text understanding pipelines
- Predictive scoring (churn, lead quality, risk)
Send me your tech stack and what the feature should do. I'll confirm feasibility and timeline before you order.
Get to know Muhammad S
Muhammad S
Build production ready solutions powered by AI
- FromPakistan
- Member sinceDec 2024
- Avg. response time1 hour
Languages
Urdu, English
I'm Sameer, an AI engineer and data scientist based in Pakistan. I build production-ready AI systems, RAG chatbots, computer vision pipelines, and data dashboards—not demos that break when someone else runs them. My stack: Python, FastAPI, Docker, LangChain, Pinecone, PyTorch, and Pandas. I've shipped a brain tumor detection system using VGG16/ResNet50, an AI resume builder live on Netlify, and multiple RAG chatbots integrating OpenAI, Claude, and Gemini APIs. Every delivery comes with clean code and a working README. Message me before ordering—a quick chat upfront beats revision rounds later.
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FAQ
My app is in [language/framework X], not Python, can you still help?
Yes. The AI/ML service itself is usually built in Python and exposed via an API, so it can connect to an app written in any language or framework. We'll just define the integration points.
Do you train the ML model from scratch, or use an existing one?
Depends on your data and goal — if you have enough labeled data, I'll train a custom model; if not, I'll often use a strong pre-trained model and fine-tune or adapt it, which is faster and usually performs just as well for most business use cases.
