I am a Machine-Learning Engineer specializing in LLM and multi-modal model fine-tuning, semantic search, RAG, and reinforcement-learning agents. I have a proven track record of shipping production ML/LLM services in Python and C++, and leading impactful cross-functional projects in both startup and enterprise environments. Currently, I am pursuing my Master's in Data Science at the University of Melbourne while working as an AI Engineer. I am passionate about developing scalable ML pipelines and deploying robust AI models to solve complex problems and enhance user experience.

Aston Jin

I am a Machine-Learning Engineer specializing in LLM and multi-modal model fine-tuning, semantic search, RAG, and reinforcement-learning agents. I have a proven track record of shipping production ML/LLM services in Python and C++, and leading impactful cross-functional projects in both startup and enterprise environments. Currently, I am pursuing my Master's in Data Science at the University of Melbourne while working as an AI Engineer. I am passionate about developing scalable ML pipelines and deploying robust AI models to solve complex problems and enhance user experience.

Available to hire

I am a Machine-Learning Engineer specializing in LLM and multi-modal model fine-tuning, semantic search, RAG, and reinforcement-learning agents. I have a proven track record of shipping production ML/LLM services in Python and C++, and leading impactful cross-functional projects in both startup and enterprise environments.

Currently, I am pursuing my Master’s in Data Science at the University of Melbourne while working as an AI Engineer. I am passionate about developing scalable ML pipelines and deploying robust AI models to solve complex problems and enhance user experience.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate

Language

English
Advanced
Chinese
Advanced

Work Experience

AI Engineer at DOOR Global
October 1, 2024 - Present
Developed and deployed an end-to-end storytelling engine using LoRA-tuned Llama-3 and Stable Diffusion XL with ControlNet for rendering frames. Managed deployment on AWS EKS with GPU Spot autoscaling, achieving 350 ms latency P95 during 8× traffic spikes. Created a unified inference gateway compatible with OpenAI and Gemini APIs, handling approximately 12,000 daily calls.
ML / Algorithm Intern at Shanghai Aijia Intelligent Technology
June 30, 2023 - August 11, 2025
Delivered a technical proof-of-concept securing $500k in Sequoia angel funding as a core member of a 6-person founding team. Developed cryptographic side-channel classifiers using Rust and scikit-learn, achieving 91% F1 score.

Education

M.Data Science at University of Melbourne
February 1, 2024 - December 31, 2025
B.Eng. Intelligent Science & Technology at Shanghai University
September 1, 2019 - June 30, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Education

Experience Level

Expert
Expert
Expert
Expert
Intermediate