Rui Nah Koh

Key Skills

Software

Mindrift

Internal/Proprietary Tooling

Top Subject Matter

Finance

Information Technology

Advertising

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Computer Programming Coding

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Text Generation

Freelancer Overview

Specialised in natural language processing, I have taken on projects with regards to text generation and recommendation. I work with LLMs regularly and have experience in prompt engineering and tuning models. My most recent project includes an GenAI segment recommendation system. Additionally, I have worked with Mindrift on freelance projects and have expertise in prompt engineering especially in the artificial general intelligence (computer science) related topics. I have also worked on project for text generation with formats and text insertion and editing with specific formats.

Labeling Experience

AI tutor - Mindrift

MindriftTextQuestion AnsweringText Generation

The first phase includes multi turn prompting and answering for topics within the computer science domain, this included natural language processing, algorithms and data structures The second phase includes insertion, editing, generation and summarizing of information from different articles (finance, tecnology, sports, trading) into of different formats (JSON, YAML, CSV, TABLE) and subsequently getting the LLM to transform from one format to another format. This also included editing a provided formatted information. This could be both multi turn and single turn. An example would be asking the LLM to summarize a finance article into a JSON format telling it to provide information in particular headers. Then asking it to calculate certain values from the text.

The first phase includes multi turn prompting and answering for topics within the computer science domain, this included natural language processing, algorithms and data structures The second phase includes insertion, editing, generation and summarizing of information from different articles (finance, tecnology, sports, trading) into of different formats (JSON, YAML, CSV, TABLE) and subsequently getting the LLM to transform from one format to another format. This also included editing a provided formatted information. This could be both multi turn and single turn. An example would be asking the LLM to summarize a finance article into a JSON format telling it to provide information in particular headers. Then asking it to calculate certain values from the text.

2024

Article Recommender System

Internal Proprietary ToolingTextEntity Ner Classification

In the article recommender project, I used NLTK and Spacy to perform NER and keyword extraction to extract topics from the articles

In the article recommender project, I used NLTK and Spacy to perform NER and keyword extraction to extract topics from the articles

2021 - 2022

Education

Work History