Targeted AI Model Fine-Tuning for Your Use Case

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About this service

Summary

I deliver end-to-end AI model fine-tuning that turns general models into domain‑accurate, production‑ready systems—complete with evaluation suites, CI-driven deployment, and monitoring for reliability from day one. What sets this apart is a data‑centric, MLOps‑first approach—golden test sets, automated batch evals, and guardrails—so quality gains are measurable, regressions are gated, and integration into real workflows is seamless.

What's included

  • Fine‑Tuned Model Artifact

    Production‑ready model checkpoint (e.g., LoRA/PEFT or full fine‑tune) exported in your preferred format, with versioning and rollback plan.

  • Training & Eval Datasets

    Cleaned, deduplicated, and labeled datasets (train/val/test) with data sheets, sampling rationale, and licensing notes.

  • Prompt/Config Library

    Versioned prompts, templates, decoding configs, and guardrails with guidance on when to use each.

  • Documentation Pack

    Operational runbooks, architecture diagrams, environment setup, API docs (OpenAPI), and model cards with known limitations.


Skills and tools

AI Developer

AI Engineer

AWS

AWS

Hugging Face

Hugging Face

Labelbox

Labelbox

Python

Python

TensorFlow

TensorFlow

Industries

Artificial Intelligence
Computer Software