JIANG Ziyu

LLM Algorithm Engineer

MPhil Student @ HKUST(GZ) | Data Science & Analytics

Research: Multi-Modal Data Lakes & Large Language Models

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About Me

I'm a LLM Algorithm Engineer with a passion for building intelligent systems that understand and process multi-modal data. Currently pursuing my MPhil in Data Science and Analytics at Hong Kong University of Science and Technology (Guangzhou).

Under the supervision of Prof. Nan Tang, I research innovative approaches combining large language models with multi-modal data lakes to unlock new possibilities in data analytics.

My technical journey spans from Applied Chemistry (BSc, Tianjin University) to cutting-edge AI/ML engineering, giving me a unique interdisciplinary perspective on solving complex problems.

Experience

LLM Algorithm Engineer
Internet Company
2024 - Present

Building and optimizing large language model applications, including RAG systems, agentic workflows, and multi-modal AI solutions.

MPhil Student, Data Science & Analytics
HKUST(GZ)
2023 - Present

Research focus: Multi-Modal Data Lakes, Large Language Models, Information Retrieval. Supervised by Prof. Nan Tang.

BSc in Applied Chemistry
Tianjin University
2019 - 2023

Projects

🤖 OpenClaw Assistant

A personal AI assistant with automation capabilities, including market analysis pipelines, arXiv paper tracking, and intelligent scheduling.

Python LLM Automation

📊 Market Analysis Pipeline

Real-time global market analysis system with LLM-powered report generation. Supports A-shares, HK stocks, US stocks, and crypto.

AKShare Yahoo Finance Qwen

🔬 RAG Retrieval Framework

Unified framework for RAG retrieval including Embedding, ColBERT, and Cross Encoder implementations.

PyTorch Transformers Vector DB

🧠 Multi-Modal Data Lake Research

Research on integrating diverse data sources with LLMs for comprehensive analytics.

LLM Multi-Modal Data Lake

Technical Skills

Python PyTorch Transformers LangChain RAG Systems Large Language Models Multi-Modal Learning Vector Databases Information Retrieval SQL Docker Git

Get In Touch

I'm always open to research collaborations, job opportunities, and discussions about LLMs, multi-modal AI, and data science.