Applied ML Systems
Building and evaluating practical machine learning systems across medical AI, financial ML, NLP, and agent workflows.
- Medical AI research
- Credit risk modeling
- NLP / agent systems
04 / About
AI engineer & developer advocate
Machine learning practitioner with 13+ years bridging research, product development, and technical communication.
Background spans medical AI (Nature Communications paper on gastric cancer detection), financial ML (credit risk modeling that outperformed FICO; wine asset pricing using collaborative filtering), and applied NLP / agent systems.
Combines deep ML hands-on experience with public speaking at major conferences (WAIC 2018, ICCV 2019), open-source contribution (MemFuse, Chat2Graph), and product-building experience as co-founder of multiple ventures.
Equally comfortable writing production ML code, explaining technical concepts to non-technical audiences, and building developer-facing content. Currently active on Threads (2,000+ followers, growing) in AI / agent memory niche.
Talk on network effects & startup cold-start: bilibili.com/video/BV1Qj411q7qf/
Current focus
Where I'm spending the bulk of my time and curiosity right now.
Human Growth AI
Exploring AI tools that expand human learning, memory, decision-making, and creative agency instead of replacing them.
- Agent memory
- Human-centered workflows
- Product experiments
DevRel & AI Advocacy
Translating complex technical ideas into developer-facing content, conference talks, open-source work, and product narratives.
- Technical communication
- Conference speaking
- Open-source contribution
Speaking & press
Talks, conference appearances, and developer-facing communication.
Conference · 2018 · Shanghai
Deep learning applications in medical pathology
WAIC 2018 · ~1,000 attendees · invited as a Google external speaker (representing Thorough Images)
- View details
Conference · 2019 · Seoul
CAMEL — weakly-supervised histopathology image segmentation
ICCV 2019 · designated speaker (poster & booth)
- View details
Talk · Jul 2023 · Beijing
什麼是 Network Effect — 初創公司如何冷啟動 (Network effects & how startups cold-start)
Tubi · internal startup-sharing talk
Let's collaborate
I partner on applied ML systems, AI product strategy, developer education, and technical storytelling for teams building in the agent and AI tooling space.