Hao Wu
Software Engineer (Growth) @ PuppyGraph
About
Software engineer and technical writer with a strong interest in machine learning, graph-based systems, and knowledge-centric AI.My background spans graph databases, data infrastructure, and AI applications, with experience in both system development and technical communication. I am particularly interested in representation learning, graph machine learning, knowledge representation, and reasoning over structured and unstructured data. I am motivated by the challenge of bridging research and real-world systems, especially in areas involving retrieval, reasoning, and the integration of foundation models with structured knowledge.Always open to connecting with researchers, engineers, and collaborators working on impactful AI and data-driven technologies.
China
Haidian District
Internet
Artificial Intelligence (AI), Python (Programming Language), Knowledge Graphs, Machine Learning, Deep Learning, Algorithms, C++, Graph Theory, Information Extraction, Natural Language Processing (NLP), Quantitative Research, Data Mining, Informatics, Data Science, Finance
Experience
Software Engineer (Growth)
PuppyGraph
Santa Clara, CA
2025 Jan - Oct: Contributed to the development of PuppyGraph as a full-stack engineer. Highlights: Kubernetes, Apache Iceberg, Java backend development, Go development, LLM-based automated unit testing, and integration testing with Pytest. 2025 Oct - Present: Produce in-depth technical content for the PuppyGraph blog (https://www.puppygraph.com/blog), covering graph technologies, databases, AI/ML, cybersecurity, and data engineering.
Research Development Software Engineer
Institute of Software, Chinese Academy of Sciences
Beijing, China
Operations research & Combinatorial optimiztion * Recently studying the incorporation of neural networks.
Senior Algorithm Engineer
DiDi
Beijing City, China
Working on the design of efficient dispatching algorithms as well as the development of online driver repositioning system, by applying the theory of economics/combinational optimization.
Research Assistant
Tsinghua University
Beijing City, China
Advised by Prof. Jian Li (Institute for Interdisciplinary Information Sciences , Tsinghua University). Worked on the application of ML/DL to Finance. Study models for better stock price prediction. Also worked as a quantitative research intern at X-tech.ai.
Software Engineer
TuSimple
Beijing City, China
Worked on planning/navigation algorithms as well as the virtual vehicle simulation system for self-driving trucks.
Software Engineer
Baidu, Inc.
Beijing City, China
Worked on user profile based video recommendation systems.
Software Engineer Intern
San Francisco Bay Area
Worked on deep learning based ads image assessment and saliency map detection.
Software Engineer Intern
San Francisco Bay Area
Research Intern
Microsoft
Beijing City, China
Worked on Trinity, a general purpose distributed graph system over a memory cloud, as well as its applications.
Education
Massachusetts Institute of Technology
DATA SCIENCE AND MACHINE LEARNING
University of California, Berkeley
Business Analytics & AI
Carnegie Mellon University
Machine Learning
Columbia Engineering
Applied Machine Learning
Focusing on traditional machine learning algorithms and applications
The University of Tokyo
EEIS
Advised by Prof. Nobuaki Minematsu.
The George Washington University
Computer Science
Studied the intersection of theory and database. Advised by Prof. Nan Zhang. Part of my master research on graph theory & educational technology is a joint project with Prof. Erik Andersen's group from Cornell University. This work is published in AIED 2019.
Fudan University
Computer Science
Won the silver medal in National Olympiad in Informatics before getting admitted.
Hao Wu's Contact Information
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