Tanchao

ML/AI Engineer and University of Melbourne Master's graduate specializing in Large Language Models (LLMs), NLP, and retrieval-augmented systems. Proven experience engineering data pipelines for open-source LLM development, benchmark testing massive-scale models (405B), and deploying full-stack digital products. Tech-fluent in Python, SQL, and Deep Learning frameworks, seeking to deploy scalable AI solutions.

Machine Learning Engineer Intern at Dolphin AI (2025-09 – 2025-12)

• Engineered data pipelines for the open-source Dolphin LLM family, orchestrating high-throughput data ingestion pipelines hosted on Hugging Face (dphn).
• Designed and executed data preprocessing frameworks, optimizing data cleaning, deduplication to generate high-quality instruction-tuning datasets for alignment for dphn/Dolphin-X1-Llama-3.1-405B model

Software Engineer Trainee at Mercari (2023-05 – 2023-11)

• Architected and deployed an e-commerce platform prototype utilizing Python, optimizing backend routing to achieve high-scalability performance metrics.
• Owned project workflow sprints, leveraging Agile methodologies to prioritize features, manage tech debt, and accelerate pipeline delivery by coordinating cross-functional engineering tasks.

Master of Information Technology in Artificial Intelligence – The University of Melbourne (2024-02 – 2025-12)

Bachelor of Science in Digital Business and Innovation – Tokyo International University (2019-08 – 2023-09)