Jason Chang
Staff Software Engineer at LinkedIn
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolJason Chang is a Staff Data Scientist in Berkeley with 11 years of experience applying machine learning, NLP, and agentic automation to improve workplace productivity at LinkedIn. He has led development of LLM-embedding powered internal search, a GPT-augmented Slack Q&A bot, and knowledge-gap discovery using semantic graphs, while building data pipelines and a Python-Dash self-service GUI to operationalize solutions. His background as a physicist and quantum computing researcher (PhD and multiple first-author papers including work funded by DOE) gives him a rare blend of rigorous quantitative modeling and practical ML product delivery. Jason excels at translating complex research into reliable, stakeholder-aligned automation that measurably reduces friction in large organizations.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.) Geophysics, Bachelor of Arts (B.A.) Geophysics at University of California, BerkeleyDoctor of Philosophy (PhD) Geophysics, Doctor of Philosophy (PhD) Geophysics at Stanford University
Spanish, Chinese, English
Stackoverflow
1reputation
1kreached
0answers
1question
Github Skills (22)
coupling8
django7
science6
decay6
database5
python5
journal4
double4
creative-commons3
open-access3
xml3
academia3
login-system3
corpus2
ldap2
Programming languages (3)
Github contributions (5)
callat-qcd/project_gA
Jul 2017 - Jun 2018
Isovector nucleon axial coupling
Contributions:1 release, 77 commits, 1 push in 10 months
coupling
cchang5/pcr
Sep 2017 - Jan 2019
Contributions:2 PRs, 25 pushes, 2 branches in 1 year 3 months
pcrpython
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