You will get a fine-tuned model for specific tasks

Arjun S.Status: Offline
Arjun S.

Let a pro handle the details

Buy Other AI & Machine Learning services from Arjun, priced and ready to go.
Arjun S.Status: Offline
Arjun S.

Let a pro handle the details

Buy Other AI & Machine Learning services from Arjun, priced and ready to go.

Project details

You will get a fine-tuned model for your specific task or integration.
Don't have data?
No problem. Opt-in for synthetic data generation for additional $200.
Need model to be quantized? Get it for additional $50
AI Development Type
Deep Learning, Model Tuning, Software Maintenance
AI Tools
PyTorch
AI Development Language
Python

What's included $650

These options are included with the project scope.

$650
  • Delivery Time 15 days
  • Number of Revisions 5
    • AI Model Integration
    • Detailed Code Comments
    • Model Documentation
    • Source Code
Optional add-ons You can add these on the next page.
Fast 10 Days Delivery
+$100
Additional Revision
+$50
System Integration (+ 5 Days)
+$200
llama.cpp Quantization
+$50
Sysnthetic Data Generation (+ 5 Days)
+$200
Arjun S.Status: Offline

About Arjun

Arjun S.Status: Offline
ML Engineer | LLM Fine-Tuning, Model Deployment, Python
Manendragarh, India - 4:33 am local time
I'm an ML engineer who builds things end to end — from training data and fine-tuning to deployment and debugging. I work primarily with Python, PyTorch, and the Hugging Face ecosystem, and I've shipped projects ranging from fine-tuned language models to vision-language architectures.
My background is self-taught and project-driven, which means I'm comfortable picking up new tools fast and I don't over-engineer. I know when to use a small fine-tuned model and when a prompt is enough.
Things I've built:

— ACE: a fine-tuned 0.5B LLM for local task automation, running on CPU via GGUF quantization

— EEG classification and stress detection models (earlier ML work)
I can help with: fine-tuning open-source LLMs, building ML pipelines in Python, dataset construction and cleaning, model evaluation, lightweight deployment, and applied ML architecture decisions.

I'm reliable, direct, and I'll tell you when something isn't the right approach. Good fit for clients who want an engineer who thinks, not just executes.

Steps for completing your project

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

Delivery time starts when Arjun receives requirements from you.

Arjun works on your project following the steps below.

Revisions may occur after the delivery date.

Project Scoping

Discuss the scope and requirements of project before getting started for clarity.

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