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Fiverr Pro
English
$
USD
I will integrate llms and fine tune ai models for custom applications
ALI SAJID
About this gig
Are you struggling to make AI actually work for your business?
Integrating a Large Language Model isn't just about calling an API. Generic setups often struggle with hallucinations, slow response times, poor data retrieval, and a lack of domain-specific knowledge, causing them to fall short in real-world applications.
I'm an AI Engineer specializing in custom LLM integration, advanced RAG architectures, and model fine-tuning, turning complex AI capabilities into production-ready software.
What I Offer:
- LLM Integration: Seamless API connections with OpenAI, Claude, Gemini, or open-source models (Llama 3, Mistral) into your web and mobile apps.
- Custom Fine-Tuning: Training open-source LLMs on your proprietary data using PyTorch for domain-specific accuracy your business actually needs.
- RAG & Vector Search: Robust Retrieval-Augmented Generation pipelines built with LangChain, vector databases, and custom knowledge bases.
- Backend Development: Clean, Dockerized APIs using FastAPI and Python, built for security and low-latency performance.
Stop settling for generic AI outputs. Let's build a fast, precise AI solution for your business.
Message me to discuss your idea.
Get to know ALI SAJID
ALI SAJID
AI Engineer Deep Learning Computer Vision GEN AI Agentic AI
- FromPakistan
- Member sinceJun 2021
- Avg. response time1 hour
Languages
Urdu, English
AI Engineer with an M.S. in Artificial Intelligence, specializing in Generative AI, Agentic Automation, and Computer Vision. I build production-ready AI systems, from designing AI agents and automation workflows to fine-tuning LLMs (QLoRA, LangChain, Hugging Face) and deploying RAG pipelines with FastAPI. My work includes LLM-powered business automation, intelligent chatbots, and computer vision applications, and I currently work as an AI Engineer at Quantum Logics and FlyRank.ai.
Let's automate and scale your business with reliable AI solutions.
FAQ
What LLM models do you support for integration and fine-tuning?
I work with both commercial APIs like OpenAI (GPT-4o), Claude, and Gemini, as well as open-source LLMs like Llama 3, Mistral, and Falcon for custom fine-tuning and hosting.
What is the difference between LLM Integration and Fine-Tuning?
Integration connects existing pre-trained models (like OpenAI) to your app via APIs to handle general tasks. Fine-tuning involves training an open-source model on your specific custom dataset so it learns your domain knowledge and internal guidelines directly.
Do I need to provide my own API keys or server infrastructure?
Yes, you will need to provide your own API keys (e.g., OpenAI, Anthropic) or hosting infrastructure (AWS, GCP, RunPod) for model deployment. However, I can guide you on setting these up efficiently.
Can you build a custom RAG system with private document search?
Absolutely! I can set up a Retrieval-Augmented Generation (RAG) pipeline using LangChain, LlamaIndex, and vector databases (like Pinecone, Supabase, or Qdrant) so your model accurately answers queries from your private documentation or knowledge base.
Will I receive the complete source code and documentation?
Yes, all packages include clean, well-commented source code along with complete documentation and instructions on how to run, test, and deploy the application.
