Hwei Geok N.

Key Skills

Software

Other

Top Subject Matter

Llms Domain Expertise

Rag Domain Expertise

document categorization

Top Data Types

Text

Image

Top Task Types

Text Generation

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

Data Scientist and Researcher (Fraunhofer SCAI), 06/2021–05/2023. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and OpenCV. Education includes Master of Science, University of Hamburg (2018) and Bachelor of Science (Honours), Limkokwing University of Creative Technology (2013). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Text Generation, Classification, and Prompt + Response Writing (SFT).

Labeling Experience

Data Science and AI Consultant (Self-Employed), 06/2023–Present

OtherTextText Generation

Delivered end-to-end development and validation of an LLM document categorizer and a RAG-based chatbot system for medication inventory. Implemented automated XML validation workflows and AI-assisted survey analytics to support correct data interpretation. Owned model development, performance testing, and documentation for client-facing AI solutions. • LLM document categorization based on training/validation data • RAG chatbot responses grounded in retrieved document content • AI profile improver for improving survey analytics outputs • Automated validation of structured XML inputs

2023 - Present

Data Scientist and Researcher (Fraunhofer SCAI), 06/2021–05/2023

OtherClassification

Built privacy-preserving synthetic patient data software using machine learning and deep learning on large-scale sensitive datasets. Co-authored peer-reviewed work on synthetic health data and contributed to an EU consortium with a focus on data privacy, security, and validation. Performed data preparation, validation, and evaluation of models generating synthetic training data. • Generation of synthetic patient data to support downstream ML training • Privacy and security-focused dataset validation • Model evaluation and validation pipelines for sensitive data • Collaboration on consortium research outputs

2021 - 2023

Independent Data Scientist (Self-Employed), 07/2020–05/2021

OtherTextPrompt + Response Writing (SFT)

Produced machine learning and data science education content and mentored social data science projects for varied audiences. Lectured on data analytics and translated statistical and ML concepts to non-specialists, supporting practical AI/data work. Supported learning workflows through curriculum and mentorship rather than dataset creation. • Creation of educational ML/data science content • Lecturing on data analytics topics • Mentoring social data science projects • Translating ML/statistics concepts for learners

2020 - 2021

Student Research Assistant - University of Hamburg

ImageClassification

Contributed to research yielding multiple peer-reviewed publications in computer vision, deep learning, and robotics. Worked on model evaluation and rigorous experimental documentation for advanced vision-based systems. Supported projects involving multimodal structured and unstructured data for tasks such as brain-MRI classification and vision-guided robotic manipulation. • Developed and evaluated deep learning approaches for vision tasks • Worked on a 3D CNN for brain-MRI classification • Contributed to deep learning for vision-guided robotic manipulation • Produced documentation supporting publication-quality experiments

2016 - 2018

Student Research Assistant (University of Hamburg), 05/2016–09/2018

TextClassification

Contributed to research using computer vision, deep learning, and robotics with extensive multimodal structured and unstructured data. Worked on model evaluation and rigorous experimental documentation for publications. Supported labeling-relevant model development such as classification and brain-MRI image processing tasks. • Computer vision model development using evaluation and documentation • 3D CNN work for brain-MRI classification requiring labeled data • Deep learning for vision-guided robotic manipulation • Multimodal data handling and experimental validation

2016 - 2018

Education

Work History