Dan Jing
Summary
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RockstarDaniel Jing is a senior in UC Berkeley’s competitive M.E.T. program combining EECS and Business Administration, focused on building ML-driven solutions for financial markets and robotics. As an undergraduate researcher in BAIR/RAIL, he co-authored ICRA-published work introducing visuomotor affordance learning and develops goal-conditioned RL and deep generative models for goal-image Q-learning. He has hands-on industry experience across trading and tech—internships and selective programs at Jane Street, Citadel, D. E. Shaw, Flow Traders, PEAK6, and AWS—bringing quantitative rigor and product-oriented software engineering to research problems. Daniel’s background in management consulting-style problem solving and teaching (CS and optimization uGSI) helps him translate complex technical ideas into practical, testable solutions. He’s driven by impactful projects that bridge academia and industry, and unusually for an undergrad, has a decade of cumulative experience engaging high-stakes trading and cloud engineering environments.
10 years of coding experience
Github Skills (23)
delta-lake10
data-lakehouse10
starrocks10
big-data10
linux10
analytics10
star-schema10
olap10
mpp10
sql10
query-engine10
realtime-database10
distributed-database10
database10
java9
Programming languages (4)
Github contributions (5)
StarRocks/fe-plugins-auditloader
Sep 2023 - Apr 2026
AuditLoader plugin for FE
Contributions:2 reviews, 10 PRs, 9 pushes in 2 years 7 months
DanJing-coder/database-tools
Sep 2022 - Nov 2025
tools for using database
Contributions:1 review, 1 PR, 39 pushes in 3 years 2 months
database
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