You will get production-ready LLM inference server optimized for speed


Project details
I specialise in deploying and optimising LLM inference servers for AI startups using vLLM and SGLang. Whether you need a quick deployment or a full production-grade inference stack, I handle the infrastructure, so your team can focus on building the product. I deploy on any cloud or serverless GPU platform, including Runpod, Modal, AWS and GCP.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-SpeechAI Development Language
PythonAI Tools
Hugging Face, PyTorch, TensorFlowAI Models
LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | |||
Model Documentation | - | - | - |
Model Monitoring | - | ||
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$50
LoRA Adapter Integration
(+ 1 Day)
+$100
Serverless GPU Deployment
(+ 1 Day)
+$150
Speculative Decoding Setup
(+ 1 Day)
+$100Frequently asked questions
10 reviews
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MS
Mihaela Elena S.
Nov 10, 2025
FastAPI Developer – Build AI MCP Gateway with Routing Logic & Fallback (Docker, AI APIs)
Working with Christ on the FastAPI Developer – Build AI MCP Gateway with Routing Logic & Fallback (Docker, AI APIs) project was a productive and professional experience.
He delivered a solid implementation of the gateway module, showing strong command of FastAPI, routing logic, and Dockerized API structures. The code was organized, functional, and integrated well with the existing architecture.
Communication was consistent, and Christ responded promptly to feedback, implementing the required updates clearly and efficiently. His structured approach and technical understanding helped maintain a smooth workflow throughout the project.
Overall, a dependable and skilled developer who met all key deliverables with good quality and attention to detail. Recommended for complex API and backend automation projects.
He delivered a solid implementation of the gateway module, showing strong command of FastAPI, routing logic, and Dockerized API structures. The code was organized, functional, and integrated well with the existing architecture.
Communication was consistent, and Christ responded promptly to feedback, implementing the required updates clearly and efficiently. His structured approach and technical understanding helped maintain a smooth workflow throughout the project.
Overall, a dependable and skilled developer who met all key deliverables with good quality and attention to detail. Recommended for complex API and backend automation projects.
AD
Adam D.
Sep 14, 2025
Runpod Serverless Instance setup
AD
Adam D.
Sep 2, 2025
Runpod Serverless Instance Setup
Excellent communication - delivered exactly what was asked of him. I am about to give a second piece of work.
AC
Andre C.
Mar 22, 2025
AI consulting and programming
It is with great sadness that I end this contract and provide this feedback. Christ was great during the first three months of the contract. We made great progress, all was going very well. But, suddenly, he became unresponsive and blamed it on personal issues. I was understanding and gave him time, but week after week he promised to get work done and failed. The systems that were developed and once worked well stopped working (model hallucinating) and he was unable to fix them. I asked for documentation of his work, the delivery was poor. I prepared a set of questions related to the systems, few were poorly answered, most simply ignored. He ignored my questions and requests and worked whenever he wanted on whatever he wanted, no explanations given.
I don't understand what happened to him. It almost feels like he is a different person now.
My company spent five months and a good amount of money in this project and we are leaving mostly empty-handed. Without the systems working, a hallucinating model, and almost no documentation, we are back to square zero. More than money, we lost time to market.
This project was a big loss for us and I can't recommend Christ to anyone. I wish we could recuperate, at least, some of the work done.
I hope he finds his way back to a responsible, responsive and capable professional he was for a while. But, the way he is now, I'd not hire him again.
I don't understand what happened to him. It almost feels like he is a different person now.
My company spent five months and a good amount of money in this project and we are leaving mostly empty-handed. Without the systems working, a hallucinating model, and almost no documentation, we are back to square zero. More than money, we lost time to market.
This project was a big loss for us and I can't recommend Christ to anyone. I wish we could recuperate, at least, some of the work done.
I hope he finds his way back to a responsible, responsive and capable professional he was for a while. But, the way he is now, I'd not hire him again.
WD
Wayne D.
Nov 15, 2024
Python Developer Needed for Google Sheets Integration using ChatGPT
Christ did an excellent job
About Christ Herve
Machine Learning/Software Engineer
81%
Job Success
Yaounde, Cameroon - 1:47 pm local time
Steps for completing your project
After purchasing the project, send requirements so Christ Herve can start the project.
Delivery time starts when Christ Herve receives requirements from you.
Christ Herve works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review your model, GPU specs, platform choice, and performance targets to plan the optimal setup.
Server Deployment
Deploy vLLM or SGLang on your chosen platform with proper configuration.