Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get LLM Fine-tuning Setup & Optimization

Saksham M.Status: Offline
Saksham M. Saksham M.
Preview imagePreview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Saksham, priced and ready to go.
Saksham M.Status: Offline
Saksham M. Saksham M.
Preview imagePreview image

Let a pro handle the details

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

Project details

You will get an efficient and optimized fine-tuning workflow with minimum possible setup cost and usage. End-to-end integration of observability and montioring tools that makes the workflow easy to track and analyse.
AI Development Type
Model Tuning
AI Tools
Amazon SageMaker, MLflow, PyTorch, TensorFlow
AI Development Language
Python

What's included $150

These options are included with the project scope.

$150
  • Delivery Time 15 days
  • Number of Revisions 3
    • AI Model Integration
    • Detailed Code Comments
    • Knowledge Graph
    • Model Documentation
Saksham M.Status: Offline

About Saksham

Saksham M.Status: Offline
I deploy ML models into production (pipelines, monitoring, automation)
New Delhi, India - 3:23 pm local time
I help early-stage startups quickly build and deploy backend systems, APIs, and AI-powered tools. Whether it’s turning your idea into a working product, automating workflows, or deploying ML models, I focus on fast execution and clean, scalable systems.

Hi I'm Saksham. I'm a Software Engineer with 3 years of experience building production systems, currently focused on making LLM fine-tuning accessible and affordable for startups.

I'm developing Breezy — a one-click LLM fine-tuning and inference platform that automates GPU orchestration, checkpointing, preemption recovery, and cost tracking across Indian and global providers. The goal is to eliminate DevOps complexity so founders can focus on building AI products instead of managing infrastructure.

Previously, I worked as a Software Engineer at Palo Alto Networks where I built and scaled network security systems. My hands-on experience with Unsloth, QLoRA, FastAPI, Docker, and multi-cloud orchestration has given me deep insight into the real challenges of production LLM workflows — especially cost optimization and reliability.

Always happy to connect and exchange ideas.

Steps for completing your project

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

Delivery time starts when Saksham receives requirements from you.

Saksham works on your project following the steps below.

Revisions may occur after the delivery date.

Propose inital plan and required resources.

Will proceed only when the Client approves.

1 week for setting up components and mock run followed by revision 1.

Client suggests improvements and feedback critical for a satisfactory service.

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