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You will get a Multiclass Classification Pipeline – Trained Model, Ready to Deploy

David M.Status: Offline
David M.
Play video

Let a pro handle the details

Buy Machine Learning services from David, priced and ready to go.
David M.Status: Offline
David M.
Play video

Let a pro handle the details

Buy Machine Learning services from David, priced and ready to go.

Project details

You will receive a multiclass text classification system using a fine-tuned DistilBERT model tailored to your data. You provide the data, and I handle everything from preprocessing and tokenization to model training, evaluation, and deployment. The trained model will allow you to send text and receive accurate category predictions in real time. You’ll also receive documentation, sample code, and an optional live walkthrough to ensure smooth handoff and ongoing usability. A REST API running in your AWS environment will be provided if requested.
Machine Learning Tools
Amazon SageMaker, BERT, pandas, Python, PyTorch
What's included
Service Tiers Starter
$700
Standard
$800
Advanced
$1,400
Delivery Time 30 days 40 days 60 days
Number of Revisions
222
Number of Model Variations
222
Number of Scenarios
222
Number of Graphs/Charts
011
Model Validation/Testing
-
Model Documentation
-
-
-
Data Source Connectivity
-
-
-
Source Code
David M.Status: Offline

About David

David M.Status: Offline
AI/ML Engineer skilled in RAG pipelines, text classification, and AWS
Carrollton, United States - 5:18 pm local time
I’m an AI/ML engineer with hands-on experience building RAG pipelines, NLP classification models, and LLM-powered applications. I also have years of experience with AWS services and Java Spring Boot, so I can take projects from prototype to production. Whether you need a custom RAG workflow, a classification model, or backend integration in the cloud, I focus on delivering clean, reliable, and scalable solutions that just work.

Steps for completing your project

After purchasing the project, send requirements so David can start the project.

Delivery time starts when David receives requirements from you.

David works on your project following the steps below.

Revisions may occur after the delivery date.

Define the problem and category labels.

We agree on what text you want classified (titles, messages, reviews, etc.). We define the categories your model will predict.

Provide and store the training data

You provide a CSV or Excel file (e.g., TEXT, CATEGORY).

Review the work, release payment, and leave feedback to David.