1-Hour Consultation with LLM / AI Deployment Expert (Startup Guidance)

I am looking for an experienced AI/ML professional for a paid 1-hour consultation to discuss building and launching an AI product.

The ideal person should have hands-on experience with LLM development, quantization, and deployment, and should understand how to turn ML capabilities into real startup products.

Topics I want to discuss during the session:

Practical process of building AI products using existing LLMs (OpenAI, Hugging Face, open-source models, etc.)

Model quantization and optimization for cost-efficient deployment

Hosting and deployment options (cloud, APIs, inference servers)

Dataset creation and data annotation pipelines

How small teams can build AI startups using existing models

Monetization strategies (APIs, SaaS, datasets, AI services)

Guidance on building MVPs and scaling AI products

Preferred Background

Experience working with LLMs (LLaMA, Mistral, HuggingFace models, etc.)

Knowledge of model quantization, inference optimization, and deployment

Experience with ML/Deep Learning product development

Familiar with AI startup ecosystem

Preferably based in India or familiar with the Indian AI market

Technical Areas of Interest

Hugging Face ecosystem

Transformers and model fine-tuning

LLM inference frameworks (vLLM, TGI, Ollama, etc.)

Data annotation and dataset building

AI product architecture

Deliverable

1-hour video call consultation

High-level guidance and recommended roadmap

If possible, please share:

Your relevant AI/ML experience

Projects involving LLMs or ML deployment

GitHub or portfolio links

This consultation may lead to future collaboration for building an AI product.
Please start your proposal with the word LLM so I know you have read the full description.