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Co-founder and CTO @ Juji, Inc. | Artificial Intelligence
Steering Juji, Inc. as Co-founder and CTO, I’ve driven the development of an AI platform that excels in no-code agent creation. Our team's work centers on providing factual and accountable generative AI solutions, empowering businesses to engage with their audience effectively. With a background in building machine learning systems and a track record of leveraging big data for nuanced business insights, I apply my expertise intechnical vision to advance the frontier of human-AI interaction. The solutions we create at Juji, Inc. are a testament to our commitment to innovation and customer trust.
University of Michigan
Ph.D., Information
January 1, 1997 – January 1, 2003
Chinese Academy of Sciences
M.S., Human Factors and Engineering Psychology
September 1, 1994 – July 1, 1997
East China Normal University
B.S., Psychology (minor Computer Science)
September 1, 1990 – July 1, 1994
Juji, Inc.
Co-founder and CTO
September 1, 2014 – Present
San Jose, CA · On-site
IBM Almaden Research Center
Research Staff Member
July 1, 2008 – August 1, 2014
San Jose, CA · On-site
University at Albany, SUNY
Assistant Professor
September 1, 2003 – June 1, 2008
On-site
University of Michigan
Graduate Research Assistant
January 1, 1997 – January 1, 2003
Institute of Psychology, Chinese Academy of Sciences
Graduate Research Assistant
September 1, 1994 – August 1, 1997
Beijing, China
Datalevin Database
June 1, 2020 – Present
Datalevin is a fast and versatile database system that use Datalog as the query language.
Editscript
March 1, 2018 – Present
Editscript is a diff/patch library for Clojure data.
Cultural Fit Analysis
The candidate's diverse background, including academic research, startup co-founding, and corporate research, suggests adaptability and a broad perspective. Their open-source contributions (Datalevin, Editscript) indicate a collaborative spirit. However, the target role of 'Data Analyst' might be a significant shift from their senior leadership and deep technical development roles, potentially leading to a mismatch in expectations regarding scope and autonomy. While technically capable, the cultural fit for a pure analyst role, rather than a more senior data science or engineering leadership role, needs further exploration.
Soft Skills & Operational Fit
The candidate's experience as a co-founder and CTO, along with roles at IBM Research and as an Assistant Professor, indicates strong leadership, problem-solving, and communication skills. Their academic background in Human Factors and Psychology suggests an ability to understand user needs and translate complex data into actionable insights. The operational fit for a Data Analyst role is strong given their history of building analytical systems and interpreting data, though the role might be a step down from their CTO position.