You will get a custom AI text classifier trained on your data, ready to deploy
Rising Talent
Rising Talent
Project details
I build small, specialised AI models that do one text-sorting job accurately and run cheaply on an ordinary CPU, no GPU bills, and your data never leaves your infrastructure.
What sets this apart: you don't need training data. I built a synthetic data pipeline with automated quality checks, so I can create and verify a dataset when you have little or none. And every model ships with an honest accuracy report measured on held-out data, never cherry-picked examples, so you know exactly how it performs before you rely on it.
Proof I can build it: I'm the author of GroundCheck, an open-source hallucination detector on GitHub, Hugging Face and PyPI that beats the GPT-4-as-judge baseline on a public benchmark. I've been shipping small text classifiers that have been used since 2021, including one deployed by a police department.
You get the model files, a usage script, and documentation that your team owns, delivered ready to run.
What sets this apart: you don't need training data. I built a synthetic data pipeline with automated quality checks, so I can create and verify a dataset when you have little or none. And every model ships with an honest accuracy report measured on held-out data, never cherry-picked examples, so you know exactly how it performs before you rely on it.
Proof I can build it: I'm the author of GroundCheck, an open-source hallucination detector on GitHub, Hugging Face and PyPI that beats the GPT-4-as-judge baseline on a public benchmark. I've been shipping small text classifiers that have been used since 2021, including one deployed by a police department.
You get the model files, a usage script, and documentation that your team owns, delivered ready to run.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | |
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Live handover call
+$75Frequently asked questions
About Pranshu
AI Engineer | LLM Applications | RAG | AI Agents | FastAPI
Gurugram, India - 4:24 am local time
What you get when you hire me:
- An AI model built for YOUR specific task, sorting support tickets, checking AI answers for errors, detecting sensitive information, and extracting data from documents
- It works even if you have no training data: I generate and quality-check the data myself, so you skip months of manual labelling
- It runs on cheap servers, and your data never leaves your company
- Delivered ready to use: installable package or live API, with documentation that your team can maintain
Why my models cost less to run: Instead of renting a giant AI for every small job, I train a compact specialist that does one job extremely well. For a defined task, it matches or beats the big AI services at a fraction of the cost and responds in under a second.
Proof (for your technical team to verify): GroundCheck, my open-source hallucination detector 0.682 F1 on the RAGTruth benchmark vs 0.634 for the GPT-4-as-judge baseline, sub-second CPU inference, published on GitHub, Hugging Face and PyPI with a reproducible benchmark harness and full technical writeup.
I work fast, test honestly, and document everything so your team owns the result.
Steps for completing your project
After purchasing the project, send requirements so Pranshu can start the project.
Delivery time starts when Pranshu receives requirements from you.
Pranshu works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope and categories
We lock the exact categories, what counts as success, and the timeline, and I review anything you share. You approve the plan before any work begins.
Prepare and quality-check the data
I assemble the training set from your examples and generate and verify extra data where you have little or none, so every category is well represented.