Rowan Y.

Key Skills

Software

Other

Top Subject Matter

Job market analytics

LLM-based summarisation

Job matching

Top Data Types

Text

Document

Image

Top Task Types

Text Summarization

Question Answering

Data Collection

Computer Programming/Coding

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

Data Engineer (Self-Directed Project) | Job Market Analytics Platform (AI-powered job description summariser). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Engineering, The University of Melbourne (2023) and Bachelor of Science, Jilin University (2019). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Text Summarization and Question Answering.

Labeling Experience

Data Engineer (Self-Directed Project) | Job Market Analytics Platform (RAG-based semantic job matching)

OtherQuestion Answering

Built a RAG-based semantic job-matching system that retrieves relevant information and generates answers/match outputs grounded in a vector index. Used LangGraph multi-agent orchestration to coordinate retrieval and response steps for improved quality. The pipeline targets scalable semantic search and LLM-assisted matching for job postings. • Implemented retrieval over job data using a Qdrant vector database. • Orchestrated multi-agent RAG flows with LangGraph. • Exposed matching results through a Streamlit frontend for interaction. • Integrated RAG behavior into a broader medallion-structured data platform.

2024 - Present

Data Engineer (Self-Directed Project) | Job Market Analytics Platform (AI-powered job description summariser)

OtherText Summarization

Designed and built an AI-powered job description summariser that processes unstructured job listing text to produce concise summaries. Implemented LLM observability and traceability for generation quality using Opik while orchestrating LangChain chains. The system focuses on domain classification and reliable text generation for downstream matching workflows. • Ingested job listing text from LinkedIn and Indeed for summarisation inputs. • Used LangChain with OpenAI GPT models to generate summaries. • Added IT domain classification to support structured summarisation behavior. • Implemented Opik tracing for LLM observability and evaluation.

2024 - Present

Education

Work History