Shan H.

Key Skills

Software

Google Cloud Vertex AI

Label Studio

LabelImg

Labelbox

Appen

Top Subject Matter

LLM Deployment/AI Multimodal Training

AI Multimodal Training/LLM Deployment

Top Data Types

Text

Image

Video

Top Task Types

Fine-tuning

Function Calling

Text Generation

Classification

Freelancer Overview

AI Technical Operations & Trainer / Academic Manager. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Guilin University of Electronic Technology. AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Function Calling.

Labeling Experience

AI Technical Operations & Trainer / Project Lead

TextFunction Calling

Built and maintained local multimodal large language model (LLM) training environments for both text and image modalities. Authored and implemented training manuals on function calling and structured output to support technical upskilling within the company. Led practical LLM evaluation and structured annotation to support enterprise needs. • Supported advanced long-context reasoning up to 128k tokens. • Leveraged Docker, Linux, and Ollama for model deployment. • Focused on practical multimodal inference and annotation workflows. • Contributed to internal model fine-tuning and evaluation best practices.

2025 - Present

AI Technical Operations & Trainer / Academic Manager

TextFine-tuning

Developed and delivered AI deployment training focused on Large Language Models (LLMs) and multimodal workflows. Specialized in instruction on running and fine-tuning Gemma 3 models with Ollama for both text and vision-language applications. Created comprehensive training documentation and technical upskilling material for structured output, function calling, and multimodal tasks. • Led curriculum R&D for integration of Text-to-Image and Vision-to-Text AI workflows. • Mentored a teaching team on AI-assisted and data-driven methodologies. • Designed hands-on modules requiring practical AI model training and evaluation. • Supported internal adoption of a knowledge base for standardized AI instruction.

2023 - Present

Education

Work History