Jonathan Chang - Personal Website

Jonathan Chang, machine learning engineer with focus on LLMs and generative models

Jonathan Chang

I'm an experienced machine learning engineer with a focus on LLM and generative image models. I'm passionate about AI research and open-source projects.

email: contact at jonathanc dot net

Projects

Timeline illustrating how a model carries reasoning forward across multiple conversation turns

The Reasoning Sink Hypothesis

Research, 2026

How models may preserve hidden reasoning across multi-turn interactions

Chart comparing mixture-of-experts maximum load violation across causal routing methods

Causal Routing Bias for Aux-Loss-Free MoE Training

Research, 2026

Causal router-side balancing methods for aux-loss-free MoE training

Claude Code running as a daemon with isolated user permissions

Claude Daemon

Tutorial, 2025

Running Claude Code as an isolated macOS user with browser access

Performance comparison chart showing tokens per second between flex-nano-vllm and vLLM

flex-nano-vllm

Code, 2025

A minimal vLLM inference engine built from scratch using PyTorch FlexAttention

MIST robot prototype showing expressive face

Project MIST

Experiment, 2025

Building the MIST robot prototype with AI-assisted design

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More Projects

Archive

Browse all projects

Blog

Timeline

2022 - 2024 · Taboola

Spend some time working in algorithm team, worked on feature engineering and designed experiments. Later joined the Generative AI team, where I integrated and optimized SoTA image models into our product.

2021-2022 · BigScience Project

I contributed to the BigScience project, mainly in the metadata working group. I worked on the training codebase and conducted research experiments on using metadata to improve language model performance.

2021-2022 · ASUS AICS

I spent 6 months in the AICS department, where we collaborated with local hospitals. I worked on medication recommendation models using BERT.

2020-2021 · NTU MiuLab

I worked with Prof. Yun-Nung Chen on SoTA Dialogue System based on GPT2. We participated in the Situated Interactive MultiModal Conversations (SIMMC) Challenge (DSTC9) and achieved 3rd place.

2020 · Google

Spent a summer at Google, internship was replaced with a remote project due to COVID-19. I worked on a project using NLP to recommend relevant articles to users.

2017-2021 · National Taiwan University

Completed my undergraduate studies in Computer Science, focusing on machine learning and artificial intelligence. I was a TA for the course Applied Deep Learning.