Custom LLM & MCP Deployment

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@snbhanja

Hi, I have worked on many custom LLM model training, AI agents, RAG projects etc in VPCs/VMs from AWS/GCP/Hostinger and other providers. I make docker and docker-compose along with other deployment best practices for deploying LLM based projects/APIs in production. Let's connect.

@webmasters486

Hi there, I’ve carefully reviewed the requirements for your GenAI project and I’m confident that my expertise in building NLP pipelines using Hugging Face and LangChain can meet your expectations. My experience includes working with large language models (LLMs) for Retrieval-Augmented Generation (RAG), as well as fine-tuning models with custom datasets to enhance text generation. I’ve successfully completed similar projects where I applied these techniques in Python to build robust, client-specific solutions. I would love the opportunity to discuss how I can leverage my skills to develop a tailored solution for your project. Feel free to take a look at my portfolio to get a sense of the work I’ve done: Portfolio: https://www.freelancer.com/u/webmasters486 Looking forward to hearing from you! Best regards, Muhammad Adil

@ashishsharma648

Hi i'm Ashish, i'm a Digital Marketing Expert with more than 4 years of experience with LLM & MCP Deployment I can surely help you out with your this project please let me know from when we can start i'm ready to start immediately, i'm waiting for your reply Thanks

@tamannarajput18

I offer an end-to-end solution for deploying a fully customized Large Language Model (LLM) along with a Machine Control Protocol (MCP) setup tailored to your system needs. My approach includes model fine-tuning, optimized inference setup, secure API integration, and scalable backend deployment. I ensure smooth MCP configuration for automated workflows, tool execution, and seamless communication with your existing infrastructure. The solution focuses on performance, reliability, and cost efficiency while providing detailed documentation and ongoing support to keep your AI system running flawlessly.

@khaleelurrahmanm

I have extensive experience deploying custom-trained LLMs and MCP servers on platforms like Hostinger, GoDaddy, AWS, and DigitalOcean. I’ve handled deployments involving mixed data (text + images), optimized inference pipelines, and set up secure API endpoints for production use. I can handle the full setup on Hostinger—including server configuration, model optimization, MCP integration, and deployment—at a very affordable cost. I’ll also share relevant past work from my portfolio once we connect.

@techsty2014

Hello, I will build and deploy your custom LLM with MCP in a clean, stable, and secure setup. I will handle both the model side and the server side so everything runs smoothly. My focus will be on correct configuration, fast responses, low latency, and a setup that you can easily maintain or scale later. Here is what I will deliver: 1. Full MCP setup with tool calling and correct routing. 2. Deployment of your custom LLM on a secure server with GPU or CPU as required. 3. API endpoints for chat, embeddings, and any extra tools you want. 4. Logging, monitoring, and error control for stable performance. 5. Clear documentation so you can manage updates or add more tools later. Before we begin: 1. Do you already have the base model selected or should I recommend one? 2. Do you want a local server deployment or a cloud deployment like AWS or GCP? Let me know how you would like to proceed, and I can start right away. Looking forward to your response. Best regards, Faizan

@bizvivo

Hi, I’m an ML engineer with proven experience deploying custom multimodal LLMs (text + image) and MCP servers on VPS/cloud environments—including Hostinger-compatible setups. I’ve built pipelines for models like LLaVA and IDEFICS, using quantization (AWQ/GGUF), Docker, FastAPI/TGI, and secure API layers with auth & monitoring. ✅ Hostinger VPS optimization (CPU/GPU-aware) ✅ Mixed-data preprocessing & inference serving ✅ MCP for versioning, routing, and scaling Recent work: Deployed a 7B vision-language model on a cloud VPS with <2s latency using AWQ + vLLM; integrated image OCR, RAG, and rate-limited endpoints. Full pipeline + documentation delivered in 6 days. Portfolio & GitHub samples available upon request. Happy to jump on a quick call to scope model size, traffic, and timeline. Looking forward to supporting your deployment! Best, Radhika