Our agency will fine tune ai models build custom ai models from scratch llm


Vetted Pro
Top Rated
Agency
Vetted by Fiverr Pro
Sensussoft Inc was selected by the Fiverr Pro team for their expertise.
About this gig
Looking to build a custom AI model or fine-tune an existing LLM for your business?
I specialize in Custom AI Model Development, LLM Fine-Tuning, and Generative AI Solutions using technologies such as Python, PyTorch, Hugging Face, Llama, Qwen, and Mistral.
My Services Include:
- Custom AI Model Development
- LLM Fine-Tuning (LoRA / QLoRA)
- Dataset Preparation & Training
- RAG Implementation
- Model Evaluation & Optimization
- AI API Development
- Model Deployment & Documentation
Whether you need a domain-specific AI model, an intelligent chatbot, or a private AI solution, I can help turn your requirements into a reliable, production-ready solution.
Let's build an AI solution tailored to your business needs.
About this agency

Vetted Pro
Agency
50 employees
Top Rated
Sensussoft Inc is part of the Fiverr Pro catalog and has been hand-picked by a dedicated Fiverr Pro team for their skills and expertise.
Vetted for
AI Development
Landing Page Design
Mobile App Development
Software Development
Vibe Coding
Website Development
- FromIndia
- Member sinceDec 2021
- Avg. response time1 hour
- Last delivery4 weeks
Languages
Gujarati, English, Hindi
Portfolio
Other AI Development Services we Offer
FAQ
Question: What types of AI models can you develop or fine-tune?
Answer: I work with open-source models such as Llama, Qwen, Mistral, Gemma, and other compatible LLMs. I can fine-tune existing models or develop custom AI solutions based on your business requirements.
Question: Can you train an AI model using my own dataset?
Answer: Yes. I can prepare and process your dataset, configure training pipelines, and fine-tune models using your business-specific data. Dataset size and quality will be assessed before starting.
Question: Do you provide AI model training from scratch?
Answer: Yes. I can develop custom models using existing architectures. Full foundation-model training from random initialization requires separate technical evaluation, infrastructure planning, and a custom quotation.
Question: Do you provide LLM fine-tuning using LoRA and QLoRA?
Answer: Yes. I support LoRA, QLoRA, and other parameter-efficient fine-tuning techniques depending on the model, dataset, and available GPU infrastructure.
Question: Can you implement RAG in my AI application?
Answer: Yes. I can implement Retrieval-Augmented Generation (RAG) with document processing, embeddings, vector databases, and LLM integration to enable AI applications to answer questions using your private knowledge base.
Question: Which technologies and frameworks do you use?
Answer: My technology stack includes Python, PyTorch, TensorFlow, Hugging Face Transformers, FastAPI, LangChain, vector databases, and GPU-accelerated infrastructure.
Question: Will I receive the trained model and source code?
Answer: Yes. Deliverables depend on the selected package and agreed scope. Source code, trained model files, training configurations, and technical documentation can be included as specified in the package.
Question: Do you provide deployment and API integration?
Answer: Yes. I provide API development and deployment support for compatible environments. Cloud infrastructure, GPU rental, and third-party service charges are separate unless explicitly included.
Question: What do you need from me to start the project?
Answer: Please share your project objectives, preferred model (if any), dataset or sample data, expected use case, technical requirements, and deployment preferences. I will review the scope before accepting the order.
Question: Can you develop a completely private AI model for my business?
Answer: Yes. I can help develop private AI solutions using suitable open-source models, custom fine-tuning, and self-hosted deployment options based on your security and infrastructure requirements.

