Eason Wang

Eason Wang

Working around AI agents, knowledge systems, and software engineering. This is where I keep research notes, public projects, and ideas worth writing down.

CURRENT WORK

Turn Advanced Intelligence into Reliable Operations.

Conduct research and engineering practices centering on agents, real-world business logic, and software systems.

01MODEL REASONING

Model capabilities & reasoning

Exploring the limits of Transformers, context, memory, reasoning, and dynamic computation through experiments in real tasks.

02AGENT SYSTEMS

Agent runtimes

Connecting model capabilities with planning, tools, permissions, memory, and validation so agents can reliably complete complex abstract tasks.

03INDUSTRIAL KNOWLEDGE

Industrial knowledge systems

Connecting engineering documents, asset entities, digital delivery, and business rules to turn scattered material into traceable, queryable industrial knowledge.

04AI SYSTEMS ARCHITECTURE

Intelligent systems architecture

Combining model serving, retrieval, workflows, data storage, evaluation, and observability into intelligent systems that can be deployed and maintained.

A PATH SO FAR

A path through learning,
research, and practice.

From algorithmic research to real-world industry applications, each step has been about turning understanding into systems that can be tested, used, and improved.

  1. 2021–2022

    Starting with reinforcement learning

    First encountered reinforcement learning and completed my undergraduate thesis with Q-learning.

  2. 2022–2023

    Machine learning and research training

    Studied classical machine learning methods systematically and began academic research.

  3. 2023–2024

    Moving into LLMs and engineering

    Contributed to a National Natural Science Foundation project, began working with LLMs, and entered engineering practice through an internship.

  4. 2024–2025

    From research to building

    Completed academic and graduate theses on time-series models, worked on LLM fine-tuning in real projects, and began building AI products independently.

  5. 2025–NOW

    Bringing AI into real industries

    Working full-time on applied AI in traditional industries, refining systems that can make a difference in real settings.

PUBLIC PROJECTS

Things taking shape on GitHub

View GitHub

SELECTED NOTES

Recent writing

All notes