I will fine tune evaluate and optimize llm or tts models for your custom ai use case

Prompting hits a ceiling. When you need consistent format, your brand voice, a narrow domain, lower latency or a 10x cheaper model, fine-tuning is the answer, and it is what I have done since 2021.

I handle the full pipeline: dataset design, training, evaluation and deployment, with honest numbers on whether fine-tuning actually beats a better prompt for your case. Sometimes it does not, and I will tell you that first.

WHAT I DO

- Dataset creation, cleaning, labeling, synthetic data generation

- Full fine-tune, LoRA and QLoRA on open models

- OpenAI and Gemini managed fine-tuning

- Model distillation to cut inference cost and latency

- Classification, extraction, summarization and domain NLP models

- Evaluation suites with real benchmarks, not vibes

- Quantization and inference optimization for cheap serving

- Deployment to your cloud, Hugging Face, Replicate or vLLM

- Regression testing so quality does not drift after updates

MODELS: Llama, Mistral, Qwen, Gemma, Phi, BERT, Whisper, GPT and Claude fine-tuning

Share your task, sample data and current failure cases. I will tell you honestly if fine-tuning is worth it.