Do you need LLMs or synthetic datasets for production, not just for experiments?

I specialize in fine-tuning and deploying large language models for real-world use cases. I work with both pre-training and post-training methods, including SFT, DPO, ORPO, DAPO, and more. Recently, I generated synthetic translation datasets for 21 languages for a banking project, fine-tuned the Qwen2.5-14B model, and deployed it to production. Using smart inference frameworks such as vLLM, SGLang, and LLMCatch, I achieved low latency and reduced training costs.

If you need to bring LLM capabilities into production efficiently, let’s connect.